CEC 2012: Brisbane, Australia

• Dejan Dovzan, Vito Logar, Igor Skrjanc:
  Solving the sales prediction problem with fuzzy evolving methods. 1-8
  
• David J. Gagne, Clare Bates Congdon:
  Preliminary results for GAMMI: Genetic algorithms for motif-module inference. 1-8
  
• Shu-Heng Chen, Umberto Gostoli:
  Coordination in the El Farol Bar problem: The role of social preferences and social networks. 1-8
  
• Wei Zhang, Xu Feng, Yongjie Zhang, Xiong Xiong:
  Information diffusion and its impacts on artificial stock markets in different learning process. 1-6
  
• Chien-Chih Liao, Chuan-Kang Ting:
  Extending the lifetime of dynamic wireless sensor networks by genetic algorithm. 1-8
  
• Pei-Chuan Tsai, Chih-Ming Chen, Ying-Ping Chen:
  Sparse degrees analysis for LT Codes Optimization. 1-6
  
• Lucas Benedicic, Mitja Stular, Peter Korosec:
  Balancing downlink and uplink soft-handover areas in UMTS networks. 1-8
  
• Pavel Krömer, Václav Snásel, Jan Platos, Milos Kudelka, Zdenek Horak:
  An ACO inspired weighting approach for the spectral partitioning of co-authorship networks. 1-7
  
• Michael Kampouridis, Tim Glover, Ali Rais Shaghaghi, Edward P. K. Tsang:
  Using a genetic algorithm as a decision support tool for the deployment of Fiber Optic Networks. 1-8
  
• Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang, Siwei Jiang:
  Pareto Rank Learning in Multi-objective Evolutionary Algorithms. 1-8
  
• Sheldon Hui, Ponnuthurai Nagaratnam Suganthan:
  Ensemble Differential Evolution with dynamic subpopulations and adaptive clearing for solving dynamic optimization problems. 1-8
  
• Julien Lepagnot, Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
  A Dynamic Multi-Agent Algorithm applied to challenging benchmark problems. 1-8
  
• Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker, Khairul Alam:
  An adaptive constraint handling approach embedded MOEA/D. 1-8
  
• Chien-Hung Liu, Chuan-Kang Ting:
  Polyphonic accompaniment using genetic algorithm with music theory. 1-7
  
• Palle Dahlstedt:
  Turn-based evolution as a proposed implementation of artistic creative process. 1-7
  
• Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao, Longbing Cao:
  A novel auto-parameters selection process for image segmentation. 1-7
  
• Xiaoyan Sun, Lei Yang, Dunwei Gong, Ming Li:
  Interactive genetic algorithm assisted with collective intelligence from group decision making. 1-8
  
• Amilkar Puris, Rafael Bello, Daniel Molina, Francisco Herrera:
  Optimising real parameters using the information of a mesh of solutions: VMO algorithm. 1-7
  
• Aruanda Simões Goncalves Meiguins, Roberto Célio Limão de Oliveira, Bianchi Serique Meiguins, Samuel F. S. Junior, Alex Alves Freitas:
  AutoClustering: An estimation of distribution algorithm for the automatic generation of clustering algorithms. 1-7
  
• Xiangrong Zhang, Erlei Zhang, Runxin Li:
  Optimized feature extraction by immune clonal selection algorithm. 1-6
  
• Benjamin Daniels, Steven M. Corns, Elizabeth A. Cudney:
  A comparison of representations for the prediction of ground-level ozone concentration. 1-8
  
• Fahmi Abdulhamid, Andy Song, Kourosh Neshatian, Mengjie Zhang:
  Evolving Genetic Programming classifiers with loop structures. 1-8
  
• Isac Sandin, Guilherme Andrade, Felipe Viegas, Daniel Madeira, Leonardo C. da Rocha, Thiago Salles, Marcos André Gonçalves:
  Aggressive and effective feature selection using genetic programming. 1-8
  
• Wenlong Fu, Mark Johnston, Mengjie Zhang:
  Genetic programming for edge detection via balancing individual training images. 1-8
  
• Changhe Li, Shengxiang Yang, Ming Yang:
  Maintaining diversity by clustering in dynamic environments. 1-8
  
• Julien G. O. L. Duhain, Andries Petrus Engelbrecht:
  Towards a more complete classification system for dynamically changing environments. 1-8
  
• Marde Helbig, Andries Petrus Engelbrecht:
  Analyses of guide update approaches for vector evaluated particle swarm optimisation on dynamic multi-objective optimisation problems. 1-8
  
• Wei-Huai Hsu, Tsung-Che Chiang:
  A multiobjective evolutionary algorithm with enhanced reproduction operators for the vehicle routing problem with time windows. 1-8
  
• Xin-Lan Liao, Chuan-Kang Ting:
  Evolutionary algorithms using adaptive mutation for the selective pickup and delivery problem. 1-8
  
• Michalis Mavrovouniotis, Shengxiang Yang:
  Ant colony optimization with memory-based immigrants for the dynamic vehicle routing problem. 1-8
  
• Atilim Günes Baydin, Ramon López de Mántaras:
  Evolution of ideas: A novel memetic algorithm based on semantic networks. 1-8
  
• B. Rosario Campomanes Álvarez, Sergio Damas, Oscar Cordón:
  Mesh simplification for 3D modeling using evolutionary multi-objective optimization. 1-8
  
• Vinh Bui, Axel Bender, Hussein A. Abbass:
  An expressive GL-2 grammar for representing story-like scenarios. 1-8
  
• David Koloseni, Jouni Lampinen, Pasi Luukka:
  Differential evolution classifier with optimized distance measures from a pool of distances. 1-7
  
• Chih-Li Huo, Yean-Shain Lien, Yu-Hsiang Yu, Tsung-Ying Sun:
  Effectively multi-swarm sharing management for differential evolution. 1-8
  
• James Montgomery, Stephen Chen:
  A simple strategy for maintaining diversity and reducing crowding in differential evolution. 1-8
  
• Hassan A. Bashir, Richard Stuart Neville:
  A hybrid evolutionary computation algorithm for global optimization. 1-8
  
• Liang Feng, Yew-Soon Ong, Ivor Wai-Hung Tsang, Ah-Hwee Tan:
  An evolutionary search paradigm that learns with past experiences. 1-8
  
• Jih-Yiing Lin, Ying-Ping Chen:
  When and what kind of memetic algorithms perform well. 1-8
  
• Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood:
  Symbiotic evolutionary subspace clustering. 1-8
  
• Lin Zhu, Longbing Cao, Jie Yang:
  Multiobjective evolutionary algorithm-based soft subspace clustering. 1-8
  
• Wilfried Segretier, Manuel Clergue, Martine Collard, Luis Izquierdo:
  An evolutionary data mining approach on hydrological data with classifier juries. 1-8
  
• Anthony Brabazon, Arlindo Silva, Michael O'Neill:
  Optimal patent design: An agent-based approach. 1-8
  
• Garnett Carl Wilson, Derek Leblanc, Wolfgang Banzhaf:
  Using sector information with linear genetic programming for intraday equity price trend analysis. 1-8
  
• Vishal Soam, Leon Palafox, Hitoshi Iba:
  Multi-objective portfolio optimization and rebalancing using genetic algorithms with local search. 1-7
  
• Marta Cimitile, Matteo Gaeta, Vincenzo Loia:
  An ontological multi-criteria optimization system for Workforce Management. 1-7
  
• Anhong Zhang, Rob Saunders:
  Towards the evolution of a language for creative design. 1-6
  
• Sune S. Nielsen, Bernabé Dorronsoro, Grégoire Danoy, Pascal Bouvry:
  Novel efficient asynchronous cooperative co-evolutionary multi-objective algorithms. 1-7
  
• Noha M. Hamza, Ruhul A. Sarker, Daryl Essam:
  Differential evolution with a mix of Constraint Consenus methods for solving a real-world Optimization Problem. 1-7
  
• Catherine Cheung, Julio J. Valdés, Matthew Li:
  Use of evolutionary computation techniques for exploration and prediction of helicopter loads. 1-8
  
• Armin Grunewald, Simon Hardt, Matthias Mielke, Rainer Brück:
  A decentralized charge management for electric vehicles using a genetic algorithm: Case study and proof-of-concept in Java and FPGA. 1-7
  
• Haken K. Jevne, Pauline C. Haddow, Alexei A. Gaivoronski:
  Evolving constrained mean-VaR efficient frontiers. 1-8
  
• Aki-Hiro Sato:
  Japanese international air travel: The relationship between flight ticket price and geodesic distance. 1-6
  
• Janez Brest, Borko Boskovic, Ales Zamuda, Iztok Fister, Mirjam Sepesy Maucec:
  Self-adaptive differential evolution algorithm with a small and varying population size. 1-8
  
• Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan:
  Comprehensive comparison of convergence performance of optimization algorithms based on nonparametric statistical tests. 1-7
  
• Tetsuyuki Takahama, Setsuko Sakai:
  Large scale optimization by differential evolution with landscape modality detection and a diversity archive. 1-8
  
• Ming-Liang Chen, Feng-Sheng Wang:
  Fuzzy optimization for a batch simultaneous saccharification and co-fermentation process by hybrid differential evolution. 1-8
  
• Josafath Israel Espinosa Ramos, Roberto Antonio Vázquez:
  A new objective function to build seismic networks using differential evolution. 1-7
  
• Pravesh Kumar Tomar, Millie Pant:
  Enhanced mutation strategy for differential evolution. 1-6
  
• Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Chun-Wei Seah, Bernhard Sendhoff:
  Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems. 1-8
  
• Zexuan Zhu, Wenmin Liu, Shan He, Zhen Ji:
  Memetic clustering based on particle swarm optimizer and K-means. 1-6
  
• Jing J. Liang, Song Tao Ma, Bo-Yang Qu, B. Niu:
  Strategy Adaptative Memetic Crowding differential evolution for multimodal optimization. 1-7
  
• Bahriye Akay, Ibrahim Kirmizi:
  Structural optimization of wavelet packets using swarm algorithms. 1-5
  
• Emrah Hancer, Celal Ozturk, Dervis Karaboga:
  Artificial Bee Colony based image clustering method. 1-5
  
• Angela Hsiang-Ling Chen, Yun-Chia Liang, Chia-Chien Liu:
  An artificial bee colony algorithm for the cardinality-constrained portfolio optimization problems. 1-8
  
• Cassio Rodrigo Conti, Mauro Roisenberg, Guenther Schwedersky Neto:
  ACOℝ-V - An algorithm that incorporates the visibility heuristic to the ACO in continuous domain. 1-8
  
• Ferani E. Zulvia, R. J. Kuo, Tung-Lai Hu:
  Solving CVRP with time window, fuzzy travel time and demand via a hybrid ant colony optimization and genetic algortihm. 1-8
  
• Christopher Beer, Tim Hendtlass, James Montgomery:
  Improving exploration in Ant Colony Optimisation with antennation. 1-8
  
• Yan Pei, Hideyuki Takagi:
  Fourier analysis of the fitness landscape for evolutionary search acceleration. 1-7
  
• James J. Q. Yu, Albert Y. S. Lam, Victor O. K. Li:
  Real-coded chemical reaction optimization with different perturbation functions. 1-8
  
• Chi Kin Chow, Shiu Yin Yuen:
  Continuous non-revisiting genetic algorithm with overlapped search sub-region. 1-8
  
• Mitchell Yuwono, Steven W. Su, Bruce Moulton, Hung T. Nguyen:
  Method for increasing the computation speed of an unsupervised learning approach for data clustering. 1-8
  
• Paulo Henrique Pisani, Ana Carolina Lorena:
  Evolutionary neural networks applied to keystroke dynamics: Genetic and immune based. 1-8
  
• Li Feng Zhang, Rong He, Meng Ling Yan:
  Heterogeneous double populations based hybrid genetic algorithm design for training feedforward neural networks. 1-8
  
• Haiping Ma, Minrui Fei, Zhiguo Ding, Jing Jin:
  Biogeography-based optimization with ensemble of migration models for global numerical optimization. 1-8
  
• Saber M. Elsayed, Ruhul A. Sarker, Tapabrata Ray:
  Parameters adaptation in Differential Evolution. 1-8
  
• Kaizhou Gao, Ponnuthurai N. Suganthan, Zhenqiang Bao:
  A composite heuristic for the no-wait flow shop scheduling. 1-5
  
• Kit Yan Chan, Saghar Khadem, Tharam S. Dillon:
  Optimization of neural network configurations for short-term traffic flow forecasting using orthogonal design. 1-7
  
• Sai-Ho Ling, Hung T. Nguyen, F. H. Frank Leung, Kit Yan Chan, Frank Jiang:
  Intelligent fuzzy particle swarm optimization with cross-mutated operation. 1-8
  
• Andrea Pirisi, Francesco Grimaccia, Marco Mussetta, Riccardo Enrico Zich:
  An evolutionary optimized device for energy harvesting from traffic. 1-6
  
• Kaibo Zhang, Bin Li:
  Cooperative Coevolution with global search for large scale global optimization. 1-7
  
• Shi Cheng, Yuhui Shi, Quande Qin:
  Dynamical exploitation space reduction in particle swarm optimization for solving large scale problems. 1-8
  
• Iztok Fister, Iztok Fister Jr., Janez Brest, Viljem Zumer:
  Memetic artificial bee colony algorithm for large-scale global optimization. 1-8
  
• Mohammed El-Abd:
  Generalized opposition-based artificial bee colony algorithm. 1-4
  
• Tarun Kumar Sharma, Millie Pant, Jagdish Chand Bansal:
  Artificial bee colony with mean mutation operator for better exploitation. 1-7
  
• Korhan Karabulut, Mehmet Fatih Tasgetiren:
  A discrete artificial bee colony algorithm for the traveling salesman problem with time windows. 1-7
  
• Wen-guan Wang, Ying-biao Ling, Jun Zhang, Yuping Wang:
  Ant colony optimization algorithm for design of analog filters. 1-6
  
• Jialiang Kou, Shengwu Xiong, Zhixiang Fang, Xinlu Zong, Feifei Bian:
  Positive point charge potential field based ACO algorithm for multi-objective evacuation routing optimization problem. 1-8
  
• Vasco M. C. Esteves, Joao M. C. Sousa, Carlos A. Silva, Ana Paula F. D. Barbosa-Póvoa, Maria Isabel Gomes Salema:
  SCant-design: Closed loop supply chain design using ant colony optimization. 1-8
  
• Ederson Borges, Daniel Gomes Ferrari, Leandro Nunes de Castro:
  Silhouette-based clustering using an immune network. 1-9
  
• Luiz Antonio Carraro, Leandro Nunes de Castro:
  A clonal selection algorithm to minimize reshuffling in container stacking operations. 1-8
  
• Antônio I. S. Nascimento, Germano C. Vasconcelos:
  An experimental investigation of artificial immune system algorithms for credit risk assessment applications. 1-8
  
• Alexandr Sergeevich, Stephen D. Bartlett:
  Optimizing qubit Hamiltonian parameter estimation algorithm using PSO. 1-3
  
• Ping-Che Hsiao, Tsung-Che Chiang, Li-Chen Fu:
  Particle swarm optimization for the minimum energy broadcast problem in wireless ad-hoc networks. 1-8
  
• Jianchao Fan, Min Han:
  Nonliear model predictive control of ball-plate system based on gaussian particle swarm optimization. 1-6
  
• Ahmed Kattan, Shaheen Fatima:
  PSO as a meta-search for hyper-GA system to evolve optimal agendas for sequential multi-issue negotiation. 1-8
  
• Jan Richter, Irene Moser:
  A distributed multiobjective approach to negotiations in semi-competitive environments. 1-7
  
• Adriana Menchaca-Mendez, Carlos A. Coello Coello:
  Solving multi-objective optimization problems using differential evolution and a maximin selection criterion. 1-8
  
• Aimin Zhou, Qingfu Zhang, Guixu Zhang:
  A multiobjective evolutionary algorithm based on decomposition and probability model. 1-8
  
• Rituparna Datta, Kalyanmoy Deb:
  An adaptive normalization based constrained handling methodology with hybrid bi-objective and penalty function approach. 1-8
  
• Jayantha Siriwardana, Saman K. Halgamuge:
  Fast shortest path optimization inspired by shuttle streaming of Physarum polycephalum. 1-8
  
• Hongqing Cao, Friedrich Recknagel, Philip T. Orr:
  The experimental study of population-based parameter optimization algorithms on rule-based ecological modelling. 1-8
  
• Wei Xin, Shigeru Fujimura:
  Parallel quantum evolutionary algorithms with Client-Server model for multi-objective optimization on discrete problems. 1-8
  
• Shi Cheng, Yuhui Shi, Quande Qin:
  Particle swarm optimization based semi-supervised learning on Chinese text categorization. 1-8
  
• Hanan S. Alghamdi, H. Lilian Tang, Saleh Alshomrani:
  Hybrid ACO and TOFA feature selection approach for text classification. 1-6
  
• Swee Chuan Tan:
  Simplifying and improving swarm-based clustering. 1-8
  
• David Haynes, Steven M. Corns, Ganesh Kumar Venayagamoorthy:
  An Exponential Moving Average algorithm. 1-8
  
• Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
  Structural transfer using EDAs: An application to multi-marker tagging SNP selection. 1-8
  
• Yanghui Wu, John A. W. McCall, David Corne, Olivier Regnier-Coudert:
  Landscape analysis for hyperheuristic Bayesian Network structure learning on unseen problems. 1-8
  
• Tao Gong, Lan Shuai:
  A cross-model study on the effect of power-laws on language evolution. 1-8
  
• Stephen Kelly, Peter Lichodzijewski, Malcolm I. Heywood:
  On run time libraries and hierarchical symbiosis. 1-8
  
• Shannon S. Pace, Andrew Cain, Clinton J. Woodward:
  A consolidated model of Particle Swarm Optimisation variants. 1-8
  
• Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan:
  A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems. 1-8
  
• Ping-Che Hsiao, Tsung-Che Chiang, Li-Chen Fu:
  A VNS-based hyper-heuristic with adaptive computational budget of local search. 1-8
  
• Jacomine Grobler, Andries Petrus Engelbrecht, Graham Kendall, V. S. S. Yadavalli:
  Investigating the use of local search for improving meta-hyper-heuristic performance. 1-8
  
• Maoguo Gong, Qing Cai, Yangyang Li, Jingjing Ma:
  An improved memetic algorithm for community detection in complex networks. 1-8
  
• Ruochen Liu, Yong Liu, Yangyang Li:
  An improved method for multi-objective clustering ensemble algorithm. 1-8
  
• Ryosuke Sano, Takuya Shindo, Kenya Jin'no, Toshimichi Saito:
  PSO-based multiple optima search systems with switched topology. 1-7
  
• Chengyong Si, Lei Wang, Qidi Wu:
  Mapping constrained optimization problems to algorithms and constraint handling techniques. 1-8
  
• Renato Dourado Maia, Leandro Nunes de Castro, Walmir Matos Caminhas:
  Bee colonies as model for multimodal continuous optimization: The OptBees algorithm. 1-8
  
• Pilar Caamaño, Francisco Bellas, José Antonio Becerra, Vicente Díaz Casás, Richard J. Duro:
  Experimental analysis of the relevance of fitness landscape topographical characterization. 1-8
  
• Eduardo Vázquez-Fernández, Carlos A. Coello Coello, Feliu Davino Sagols Troncoso:
  An evolutionary algorithm coupled with the Hooke-Jeeves algorithm for tuning a chess evaluation function. 1-8
  
• Mostafa Z. Ali, Ayad M. Salhieh, Robert G. Reynolds:
  Socio-cultural evolution via neighborhood-restructuring in intricate multi-layered networks. 1-8
  
• Robert G. Reynolds, Yousof A. Gawasmeh:
  Evolving heterogeneous social fabrics for the solution of real valued optimization problems using cultural algorithms. 1-8
  
• Steve Dower:
  Automatic implementation of evolutionary algorithms on GPUs using ESDL. 1-8
  
• Daniel Ashlock, Wendy Ashlock:
  Impact of regulatory genes on optimization behavior. 1-8
  
• Olivier Regnier-Coudert, John A. W. McCall:
  An Island Model Genetic Algorithm for Bayesian network structure learning. 1-8
  
• Deqing Huang, Jian-Xin Xu, Xin Deng, Venkatakrishnan Venkataramanan, The Cat Tuong Huynh:
  GA based high-order peak filter design with application to compensation of contact-induced vibration in HDD servo systems. 1-8
  
• Lin Wang, Bo Yang, Yuehui Chen, Xiuyang Zhao:
  Predict the hydration of Portland cement using differential evolution. 1-5
  
• Uday K. Chakraborty, Sajal K. Das, Travis E. Abbott:
  Energy-efficient routing in hierarchical wireless sensor networks using differential-evolution-based memetic algorithm. 1-8
  
• Vladimir Bukhtoyarov, Eugene Semenkin:
  Neural networks ensemble approach for detecting attacks in computer networks. 1-6
  
• Marcin Seredynski, Grégoire Danoy, Masoud Tabatabaei, Pascal Bouvry, Yoann Pigné:
  Generation of realistic mobility for VANETs using genetic algorithms. 1-8
  
• Ahmad Almakhlafi, Joshua Knowles:
  Benchmarks for maintenance scheduling problems in power generation. 1-8
  
• Subhrajit Roy, Saúl Zapotecas Martínez, Carlos A. Coello Coello, Soumyadip Sengupta:
  A Multi-Objective Evolutionary approach for linear antenna array design and synthesis. 1-8
  
• Saúl Zapotecas Martínez, Carlos A. Coello Coello:
  A direct local search mechanism for decomposition-based multi-objective evolutionary algorithms. 1-8
  
• Noura Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan, Andrei Petrovski, John McCall:
  Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. 1-7
  
• Kate Smith-Miles, Thomas T. Tan:
  Measuring algorithm footprints in instance space. 1-8
  
• Tarun Kumar Sharma, Millie Pant, Jagdish Chand Bansal:
  Some modifications to enhance the performance of Artificial Bee Colony. 1-8
  
• Hisashi Handa:
  Use of graph kernels in Estimation of Distribution Algorithms. 1-6
  
• Hiroaki Yamaguchi, Tomoyuki Hiroyasu, Sakito Nunokawa, Noriko Koizumi, Naoki Okumura, Hisatake Yokouchi, Mitsunori Miki, Masato Yoshimi:
  Comparison study of controlling bloat model of GP in constructing filter for cell image segmentation problems. 1-8
  
• J. Goh, H. L. Tang, T. Peto, G. Saleh:
  An evolutionary approach for determining Hidden Markov Model for medical image analysis. 1-8
  
• Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
  An analysis of the use of probabilistic modeling for synaptic connectivity prediction from genomic data. 1-8
  
• Ricardo de A. L. Rabelo, Marcus V. Lemos, Daniel Barbosa:
  Power system harmonics estimation using Particle Swarm Optimization. 1-6
  
• Ricardo Britto, Pedro Santos Neto, Ricardo Rabelo, Werney Ayala, Thiago Soares:
  A hybrid approach to solve the agile team allocation problem. 1-8
  
• Marlon Paolo Lima, Eduardo G. Carrano, Ricardo H. C. Takahashi:
  Multiobjective planning of wireless local area networks (WLAN) using genetic algorithms. 1-8
  
• Wesam Herbawi, Michael Weber:
  The ridematching problem with time windows in dynamic ridesharing: A model and a genetic algorithm. 1-8
  
• Kalyan Veeramachaneni, Markus Wagner, Una-May O'Reilly, Frank Neumann:
  Optimizing energy output and layout costs for large wind farms using particle swarm optimization. 1-7
  
• Yi Sun, Albert Y. S. Lam, Victor O. K. Li, Jin Xu, James J. Q. Yu:
  Chemical Reaction Optimization for the optimal power flow problem. 1-8
  
• Lutao Wang, Wei Xu, Shingo Mabu, Kotaro Hirasawa:
  Rule accumulation method based on Credit Genetic Network Programming. 1-8
  
• Tzai-Der Wang, Xiaochuan Wu, Colin Fyfe:
  Comparative study of visualisation methods for temporal data. 1-5
  
• Sotiris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, Dimitris K. Tasoulis:
  Density based Projection Pursuit Clustering. 1-8
  
• Yuichiro Toda, Tsubasa Narita, Naoyuki Kubota:
  Information visualization based on 3D modeling for human-friendly teleoperation. 1-7
  
• Jiangjun Tang, Sameer Alam, Chris Lokan, Hussein A. Abbass:
  A multi-objective evolutionary method for Dynamic Airspace Re-sectorization using sectors clipping and similarities. 1-8
  
• Özgür Ülker, Dario Landa-Silva:
  Evolutionary local search for solving the office space allocation problem. 1-8
  
• Stefan Wink, Thomas Bäck, Michael T. M. Emmerich:
  A meta-genetic algorithm for solving the Capacitated Vehicle Routing Problem. 1-8
  
• Joseph Shelton, Gerry V. Dozier, Joshua Adams, Aniesha Alford:
  Permutation-based biometric authentication protocols for mitigating replay attacks. 1-5
  
• Keisuke Murakami:
  A genetic algorithm for probe testing problem on high-density PCB. 1-8
  
• Yangyang Li, Jing Chen, Ruochen Liu, Jianshe Wu:
  A spectral clustering-based adaptive hybrid multi-objective harmony search algorithm for community detection. 1-8
  
• Thiago Santos, Ricardo H. C. Takahashi, Gladston J. P. Moreira:
  A CMA stochastic differential equation approach for many-objective optimization. 1-6
  
• Ahmed Kafafy, Ahmed Bounekkar, Stéphane Bonnevay:
  Hybrid Metaheuristics based on MOEA/D for 0/1 multiobjective knapsack problems: A comparative study. 1-8
  
• Hussein A. Abbass, Daryl Essam, Ruhul A. Sarker:
  2012 IEEE Congress on Evolutionary Computation. 1
  
• Victor Ciesielski, Brian T. Lam, Minh Luan Nguyen:
  Comparison of evolutionary and conventional feature extraction methods for malt classification. 1-7
  
• Mahdi Setayesh, Mengjie Zhang, Mark Johnston:
  Effects of static and dynamic topologies in Particle Swarm Optimisation for edge detection in noisy images. 1-8
  
• Wenlong Fu, Mark Johnston, Mengjie Zhang:
  Soft edge maps from edge detectors evolved by genetic programming. 1-8
  
• Xiao-Yan Sun, Shan-Shan Chen, Xiao-Ping Ma:
  Semi-supervised ranking SVM-assisted IGA with hierarchical evaluations. 1-8
  
• Dunwei Gong, Lei Yang, Xiaoyan Sun, Ming Li:
  Applying knowledge of users with similar preference to construct surrogate models of IGAs. 1-8
  
• Ahmed Kattan, Edgar Galván López:
  Evolving radial basis function networks via GP for estimating fitness values using surrogate models. 1-7
  
• Amit Saha, Tapabrata Ray:
  Equality Constrained Multi-objective optimization. 1-7
  
• Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam:
  Memetic multi-topology particle swarm optimizer for constrained optimization. 1-8
  
• Tetsuyuki Takahama, Setsuko Sakai:
  Efficient Constrained Optimization by the ε Constrained Rank-Based Differential Evolution. 1-8
  
• Andries Petrus Engelbrecht:
  Particle swarm optimization: Velocity initialization. 1-8
  
• Mohammad Reza Bonyadi, Zbigniew Michalewicz:
  A fast particle swarm optimization algorithm for the multidimensional knapsack problem. 1-8
  
• Medria K. D. Hardhienata, Kathryn Elizabeth Merrick, Valery A. Ugrinovskii:
  Task allocation in multi-agent systems using models of motivation and leadership. 1-8
  
• Falko Guderian, Rainer Schaffer, Gerhard Fettweis:
  Administration- and communication-aware IP core mapping in scalable multiprocessor system-on-chips via evolutionary computing. 1-8
  
• Falko Guderian, Rainer Schaffer, Gerhard Fettweis:
  Dimensioning the heterogeneous multicluster architecture via parallelism analysis and evolutionary computing. 1-8
  
• Eman Sayed, Daryl Essam, Ruhul A. Sarker:
  Dependency Identification technique for large scale optimization problems. 1-8
  
• Jian Xiong, Kamran Shafi, Hussein A. Abbass:
  Multi-Uncertainty Problems (MUP) with applications to managing risk in resource-constrained project scheduling. 1-8
  
• Suruchi Sinha, Abhishek Bhola, V. K. Panchal, Siddhant Singhal, Ajith Abraham:
  Resolving mixed pixels by hybridization of biogeography based optimization and ant colony optimization. 1-6
  
• Ch'ng Siong Huat, Jason Teo:
  Online evolution of offensive strategies in real-time strategy gaming. 1-8
  
• Wesam Herbawi, Michael Weber:
  A genetic local search algorithm for multiobjective time-dependent route planning. 1-7
  
• Caroline Gagné, Arnaud Zinflou:
  An hybrid algorithm for the industrial car sequecing problem. 1-8
  
• Jésica de Armas, Yanira González, Gara Miranda, Coromoto León:
  Parallelization of the multi-objective container loading problem. 1-8
  
• Jin Qin, Zhenjun Liang:
  A naive Particle Swarm Optimization. 1-8
  
• Hidefumi Sawai:
  Reorganizing a new generation airline network based on an Ant-Colony Optimization-inspired Small-World network. 1-8
  
• Daniel Ashlock, Sharon McNicholas:
  Single parent generalization of cellular automata rules. 1-8
  
• Sarvesh Nikumbh, Shameek Ghosh, Valadi K. Jayaraman:
  Biogeography-based informative gene selection and cancer classification using SVM and Random Forests. 1-6
  
• Hiroshi Takenouchi, Masataka Tokumaru, Noriaki Muranaka:
  Performance evaluation of interactive evolutionary computation with tournament-style evaluation. 1-8
  
• Sverre Gunnersen, Kate Smith-Miles, Vincent C. S. Lee:
  Towards objective data selection in bankruptcy prediction. 1-8
  
• Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, David M. W. Powers:
  Evolutionary feature selection and electrode reduction for EEG classification. 1-8
  
• Jirí Jaros:
  Multi-GPU island-based genetic algorithm for solving the knapsack problem. 1-8
  
• Mohammed El-Abd, Mohamed S. Kamel:
  Particle Swarm Optimization with Adaptive Bounds. 1-6
  
• Luiz Otávio Vilas Boas Oliveira, Rodrigo Luiz Mendes Mota, Dante Augusto Couto Barone:
  Clonal Selection Classifier with Data Reduction: Classification as an optimization task. 1-7
  
• In-Won Park, Ki-Baek Lee, Jong-Hwan Kim:
  Multi-objective evolutionary algorithm-based optimal posture control of humanoid robots. 1-7
  
• Paul McCarthy:
  Path-sharing: A new betweenness measure for community identification in networks. 1-6
  
• Trent Higgs, Bela Stantic, Tamjidul Hoque, Abdul Sattar:
  Refining Genetic Algorithm twin removal for high-resolution protein structure prediction. 1-8
  
• Jingxuan Wei, Yuping Wang:
  Hyper rectangle search based particle swarm algorithm for dynamic constrained multi-objective optimization problems. 1-8
  
• Yashar Maali, Adel Al-Jumaily:
  A novel partially connected cooperative parallel PSO-SVM algorithm: Study based on sleep apnea detection. 1-8
  
• Matthew Witten, Owen Clancey:
  An evolutionary algorithm for optimization of affine transformation parameters for dose matrix warping in patient-specific quality assurance of radiotherapy dose distributions. 1-4
  
• Lae-Kyoung Lee, Su-Yong An, Se-Young Oh:
  Robust fingertip extraction with improved skin color segmentation for finger gesture recognition in Human-robot interaction. 1-7
  
• Marco Mussetta, Houriyeh Shadmehr, Francesco Grimaccia, Alessandro Gandelli, Riccardo Enrico Zich:
  Optimization of a radio frequency energy harvesting device. 1-5
  
• Imen Chaari, Anis Koubaa, Hachemi Bennaceur, Sahar Trigui, Khaled Al-Shalfan:
  smartPATH: A hybrid ACO-GA algorithm for robot path planning. 1-8
  
• Thillainathan Logenthiran, Dipti Srinivasan, Ashwin M. Khambadkone, T. Sundar Raj:
  Optimal sizing of Distributed Energy Resources for integrated microgrids using Evolutionary Strategy. 1-8
  
• Wenmin Liu, Zhen Ji, Shan He, Zexuan Zhu:
  Survival analysis of gene expression data using PSO based radial basis function networks. 1-5
  
• Ling Lin, Zhen Ji, Shan He, Zexuan Zhu:
  A crown jewel defense strategy based particle swarm optimization. 1-6
  
• Francisco M. Ortuño Guzman, Javier P. Florido, José M. Urquiza, Héctor Pomares, Alberto Prieto, Ignacio Rojas:
  Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II. 1-8
  
• John K. Zao, Martin Hornansky, Pei-Lun Diao:
  Design of optimal short-length LT codes using evolution strategies. 1-9
  
• Anupam Trivedi, Deepak Sharma, Dipti Srinivasan:
  Multi-objectivization of short-term unit commitment under uncertainty using evolutionary algorithm. 1-8
  
• Andre B. de Britto, Aurora Pozo:
  Using archiving methods to control convergence and diversity for Many-Objective Problems in Particle Swarm Optimization. 1-8
  
• Zhen Ji, Tao Tian, Shan He, Zexuan Zhu:
  A memory binary particle swarm optimization. 1-5
  
• Zhihui Li, Zhigang Shang, J. J. Liang, Ben Niu:
  An improved differential evolution for constrained optimization with dynamic constraint-handling mechanism. 1-6
  
• Zhigang Shang, Zhihui Li, J. J. Liang, Ben Niu:
  Control parameters self-adaptation in differential evolution based on intrisic structure information. 1-6
  
• Hailin Liu, Wen-qin Chen, Fangqing Gu:
  A novel multiobjective differential evolutionary algorithm based on subregion search. 1-6
  
• Leonardo Goliatt da Fonseca, Afonso C. C. Lemonge, Helio J. C. Barbosa:
  A study on fitness inheritance for enhanced efficiency in real-coded genetic algorithms. 1-8
  
• Abdullah Alsheddy, Michael Kampouridis:
  Off-line parameter tuning for Guided Local Search using Genetic Programming. 1-5
  
• Sauli Ruuska, Kaisa Miettinen:
  Constructing evolutionary algorithms for bilevel multiobjective optimization. 1-7
  
• L. N. Vitorino, S. F. Ribeiro, Carmelo J. A. Bastos Filho:
  A hybrid swarm intelligence optimizer based on particles and artificial bees for high-dimensional search spaces. 1-6
  
• Geoff Nitschke:
  Behavioral heterogeneity, cooperation, and collective construction. 1-8
  
• Bogdan Filipic, Ivan Lorencin:
  Evolutionary multiobjective design of an alternative energy supply system. 1-6
  
• Wissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa, Godfried Williams:
  Evolutionary multi-objective optimization of trace transform for invariant feature extraction. 1-8
  
• Feng Xie, Andy Song:
  Evolving frame splitters by Genetic Programming. 1-7
  
• Andrea Valsecchi, Sergio Damas, Jose Santamaría:
  An image registration approach using genetic algorithms. 1-8
  
• Masahiro Tanaka, Tomoya Takahama:
  Restoration of motion-blurred line drawings by Differential Evolution and Richardson-Lucy algorithm. 1-8
  
• Lukás Sekanina, Vojtech Salajka, Zdenek Vasícek:
  Two-step evolution of polymorphic circuits for image multi-filtering. 1-8
  
• Xin Zhang, Wenjian Luo:
  Evolutionary repair for evolutionary design of combinational logic circuits. 1-8
  
• Boris Mitavskiy, Jun He:
  A polynomial time approximation scheme for a single machine scheduling problem using a hybrid evolutionary algorithm. 1-8
  
• Krisztián Balázs, Zoltán Horváth, László T. Kóczy:
  Hybrid Bacterial Iterated Greedy heuristics for the Permutation Flow Shop Problem. 1-8
  
• Sameer Alam, Chris Lokan, Hussein A. Abbass:
  What can make an airspace unsafe? characterizing collision risk using multi-objective optimization. 1-8
  
• Danial Yazdani, Mohammad R. Akbarzadeh-Totonchi, Babak Nasiri, Mohammad Reza Meybodi:
  A new artificial fish swarm algorithm for dynamic optimization problems. 1-8
  
• Oliver Chikumbo, Erik D. Goodman, Kalyanmoy Deb:
  Approximating a multi-dimensional Pareto front for a land use management problem: A modified MOEA with an epigenetic silencing metaphor. 1-9
  
• R. Lyndon While, Lucas Bradstreet:
  Applying the WFG algorithm to calculate incremental hypervolumes. 1-8
  
• Efrén Mezura-Montes, Elyar A. Lopez-Davila:
  Adaptation and local search in the modified bacterial foraging algorithm for constrained optimization. 1-8
  
• Afonso C. C. Lemonge, Helio J. C. Barbosa, Heder S. Bernardino:
  A family of adaptive penalty schemes for steady-state genetic algorithms. 1-8
  
• Yukiko Orito, Hisashi Yamamoto, Yasuhiro Tsujimura:
  Equality constrained long-short portfolio replication by using probabilistic model-building GA. 1-8
  
• Kusum Deep, Pinkey Chauhan, Millie Pant:
  Totally disturbed chaotic Particle Swarm Optimization. 1-8
  
• Avishek Ghosh, Arnab Ghosh, Arkabandhu Chowdhury, Amit Konar, Eunjin Kim, Atulya K. Nagar:
  Linear phase low pass FIR filter design using Genetic Particle Swarm Optimization with dynamically varying neighbourhood technique. 1-7
  
• Andreas T. Ernst, Gaurav Singh:
  Lagrangian Particle Swarm Optimization for a resource constrained machine scheduling problem. 1-8
  
• Li Xiao, Xingquan Zuo:
  Multi-DEPSO: A DE and PSO based hybrid algorithm in dynamic environments. 1-7
  
• Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao:
  Characterizing environmental changes in Robust Optimization Over Time. 1-8
  
• Jun Hee Yoo, Ho-Sik Seok, Byoung-Tak Zhang:
  Evolutionary particle filtering for sequential dependency learning from video data. 1-8
  
• Harith Al-Sahaf, Andy Song, Kourosh Neshatian, Mengjie Zhang:
  Extracting image features for classification by two-tier genetic programming. 1-8
  
• Ales Zamuda, Janez Brest:
  Tree model reconstruction innovization using multi-objective differential evolution. 1-8
  
• Zheng Zhang, Hock Soon Seah, Jixiang Sun:
  A hybrid Particle Swarm Optimization with cooperative method for multi-object tracking. 1-6
  
• Olacir Rodrigues Castro Junior, Andre B. de Britto, Aurora Pozo:
  A Comparison of methods for leader selection in many-objective problems. 1-8
  
• Jing J. Liang, Bo-Yang Qu, Ponnuthurai N. Suganthan, B. Niu:
  Dynamic Multi-Swarm Particle Swarm Optimization for Multi-objective optimization problems. 1-8
  
• Juan Xu, Hanwu Chen, Zhihao Liu, Yue Ruan, Wanning Zhu:
  Quantum secret sharing without exclusive OR of qubits' measuring results. 1-4
  
• Fei Yan, Phuc Quang Le, Abdullah M. Iliyasu, Bo Sun, Jesus A. Garcia, Fangyan Dong, Kaoru Hirota:
  Assessing the similarity of quantum images based on probability measurements. 1-6
  
• Md. Mazder Rahman, Gerhard W. Dueck:
  An algorithm to find quantum templates. 1-7
  
• Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo Vincent Nelwamondo:
  Classification with missing data using multi-layered artificial immune systems. 1-8
  
• Weiwei Zhang, Gary G. Yen:
  Immune-inspired evolutionary algorithm for constrained optimization. 1-8
  
• Wenping Ma, Yuanyuan Huang, Congling Li, Jing Liu:
  Image segmentation based on a hybrid Immune Memetic Algorithm. 1-8
  
• Thomas Schoene, Simone A. Ludwig, Raymond J. Spiteri:
  Step-optimized Particle Swarm Optimization. 1-9
  
• Tim Hendtlass:
  Restarting Particle Swarm Optimisation for deceptive problems. 1-9
  
• Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis:
  Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. 1-8
  
• Garrison W. Greenwood, Daniel Ashlock:
  Evolutionary games and the study of cooperation: Why has so little progress been made? 1-8
  
• Hisao Ishibuchi, Koichiro Hoshino, Yusuke Nojima:
  Strategy evolution in a spatial IPD game where each agent is not allowed to play against itself. 1-8
  
• Daniel Beard, Philip Hingston, Martin Masek:
  Using Monte Carlo Tree Search for replanning in a multistage simultaneous game. 1-8
  
• DongSeop Lee, Luis Felipe Gonzalez, Jacques Périaux, Gabriel Bugeda:
  Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA. 1-8
  
• Eduardo Segredo, Carlos Segura, Coromoto León:
  Analysing the robustness of multiobjectivisation parameters with large scale optimisation problems. 1-8
  
• Xinye Cai, Zhenzhou Hu, Sanjoy Das, Stephen Welch:
  A hierarchical Pareto dominance based multi-objective approach for the optimization of gene regulatory network models. 1-6
  
• Zhihao Liu, Hanwu Chen, Juan Xu, Wenqian Li, Zhigang Li:
  Deterministic secure quantum communication with mutual authentication based on bell measurement. 1-5
  
• Hamid Izadinia, Mohammad Mehdi Ebadzadeh:
  Adaptive Quantum-inspired Evolution Strategy. 1-8
  
• Minh Van Nguyen, Michael Kirley, Rodolfo García-Flores:
  Community evolution in a scientific collaboration network. 1-8
  
• Yun-Chia Liang, Josue R. Cuevas J.:
  Multilevel image thresholding using relative entropy and Virus Optimization Algorithm. 1-8
  
• Prakash Shelokar, Arnaud Quirin, Oscar Cordón:
  Automatic extraction of common research areas in world scientograms using the multiobjective Subdue algorithm. 1-8
  
• Valerio Lattarulo, Geoffrey T. Parks:
  A preliminary study of a new multi-objective optimization algorithm. 1-8
  
• Vui Ann Shim, K. C. Tan, K. K. Tan:
  A hybrid estimation of distribution algorithm for solving the multi-objective multiple traveling salesman problem. 1-8
  
• Kusum Deep, Pinkey Chauhan, Millie Pant:
  Multi task selection including part mix, tool allocation and process plans in CNC machining centers using new binary PSO. 1-8
  
• Diego Perez, Philipp Rohlfshagen, Simon M. Lucas:
  The physical travelling salesman problem: WCCI 2012 competition. 1-8
  
• Tobias Mahlmann, Julian Togelius, Georgios N. Yannakakis:
  Evolving card sets towards balancing dominion. 1-8
  
• Hisao Ishibuchi, Koichiro Hoshino, Yusuke Nojima:
  Evolution of strategies in a spatial IPD game with a number of different representation schemes. 1-8
  
• Garnett Carl Wilson, Simon Harding, Orland Hoeber, Rodolphe Devillers, Wolfgang Banzhaf:
  Parallel exhaustive search vs. evolutionary computation in a large real world network search space. 1-8
  
• Shigeyoshi Tsutsui, Noriyuki Fujimoto:
  Implementation of histogram based sampling algorithm within an EDA scheme with CUDA. 1-8
  
• Xin Zhang, Shiu Yin Yuen:
  Opposition-based adaptive differential evolution. 1-8
  
• Iztok Fajfar:
  Selection strategies and random perturbations in differential evolution. 1-7
  
• Sami Barmada, Marco Raugi, Mauro Tucci:
  Global optimization algorithm based on self-organizing centroids. 1-6
  
• Kaustuv Nag, Tandra Pal:
  A new archive based steady state genetic algorithm. 1-7
  
• Fumiya Kudo, Tomohiro Yoshikawa:
  Knowledge extraction in multi-objective optimization problem based on visualization of Pareto solutions. 1-6
  
• Martin Pilát, Roman Neruda:
  An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization. 1-7
  
• Juan Rada-Vilela, Mengjie Zhang, Winston Seah:
  A performance study on the effects of noise and evaporation in Particle Swarm Optimization. 1-8
  
• Liam Cervante, Bing Xue, Mengjie Zhang, Lin Shang:
  Binary particle swarm optimisation for feature selection: A filter based approach. 1-8
  
• Mitchell Yuwono, Steven W. Su, Bruce Moulton, Hung T. Nguyen:
  Fast unsupervised learning method for rapid estimation of cluster centroids. 1-8
  
• Irene Moser, Marius Gheorghita:
  Combining search space diagnostics and optimisation. 1-8
  
• Stepan Balcar, Martin Pilát, Roman Neruda:
  An evolutionary algorithm for 2D semi-guillotinable circular saw cutting. 1-5
  
• Bruno Petrato Bruck, André Gustavo dos Santos, José Elias Claudio Arroyo:
  Hybrid metaheuristic for the single vehicle routing problem with deliveries and selective pickups. 1-8
  
• Yang Yang, Shingo Mabu, Kotaro Hirasawa:
  A multitasks learning approach to autonomous agent based on Genetic Network Programming. 1-7
  
• Joos C. A. M. Buijs, Boudewijn F. van Dongen, Wil M. P. van der Aalst:
  A genetic algorithm for discovering process trees. 1-8
  
• Jochen De Weerdt, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens:
  Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes. 1-8
  
• Sevan G. Ficici, Enoch Liu, Gary B. Fogel:
  Evolutionary algorithms for supertree search. 1-8
  
• Zary Forghany, Mohsen Davarynejad, B. Ewa Snaar-Jagalska:
  Gene regulatory network model identification using artificial bee colony and swarm intelligence. 1-6
  
• Ahsan Raja Chowdhury, Madhu Chetty, Nguyen Xuan Vinh:
  Adaptive regulatory genes cardinality for reconstructing genetic networks. 1-8
  
• Ran Cheng, Min Yao, Xiaowei Xue, Bin Shen:
  Bisexual evolution: A novel bisexual evolutionary framework based on the Fisher's runaway process. 1-8
  
• Mitsukuni Matayoshi:
  Landscape information extraction from chromosome based on a quality control approach. 1-8
  
• Simone A. Ludwig:
  Clonal selection based genetic algorithm for workflow service selection. 1-7
  
• David Hadka, Patrick M. Reed, Timothy W. Simpson:
  Diagnostic assessment of the borg MOEA for many-objective product family design problems. 1-10
  
• Heyam AlBaity, Souham Meshoul, Ata Kaban:
  On extending quantum behaved particle swarm optimization to multiobjective context. 1-8
  
• Joseph Yuen, Sophia Gao, Markus Wagner, Frank Neumann:
  An adaptive data structure for evolutionary multi-objective algorithms with unbounded archives. 1-8
  
• Dayanne G. Coelho, Elizabeth F. Wanner, Sergio R. Souza, Eduardo G. Carrano, Robin C. Purshouse:
  A multiobjective evolutionary algorithm for the 2D Guillotine Strip Packing Problem. 1-8
  
• Madawa Priyadarshana, Georgy Sofronov:
  A modified cross entropy method for detecting multiple change points in DNA Count Data. 1-8
  
• Mazen Hussein, Matthew E. H. Petering:
  Genetic algorithm-based simulation optimization of stacking algorithms for yard cranes to reduce fuel consumption at seaport container transshipment terminals. 1-8
  
• Han The Anh, Luís Moniz Pereira, Francisco C. Santos:
  Intention recognition, commitment and the evolution of cooperation. 1-8
  
• Erandi Lakshika, Michael Barlow, Adam Easton:
  Fidelity and complexity of standing group conversation simulations: A framework for the evolution of Multi Agent Systems through bootstrapping human aesthetic judgments. 1-8
  
• Raymond Chiong, Michael Kirley:
  The evolution of cooperation via stigmergic interactions. 1-8
  
• Michal Bidlo, Zdenek Vasícek:
  Evolution of cellular automata using instruction-based approach. 1-8
  
• Lorenzo Riano, T. Martin McGinnity:
  A robot that autonomously improves skills by evolving computational graphs. 1-8
  
• Douglas Guimarães Macharet, Armando Alves Neto, Vilar Fiuza da Camara Neto, Mario Fernando Montenegro Campos:
  Data gathering tour optimization for Dubins' vehicles. 1-8
  
• Xianpeng Wang, Lixin Tang:
  Multi-objective optimization using a hybrid differential evolution algorithm. 1-8
  
• Rammohan Mallipeddi, Minho Lee:
  Surrogate model assisted ensemble differential evolution algorithm. 1-8
  
• Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
  Multimodal optimization using niching differential evolution with index-based neighborhoods. 1-8
  
• Xianneng Li, Bing Li, Shingo Mabu, Kotaro Hirasawa:
  A continuous estimation of distribution algorithm by evolving graph structures using reinforcement learning. 1-8
  
• Krishna Manjari Mishra, Marcus Gallagher:
  Variable screening for reduced dependency modelling in Gaussian-based continuous Estimation of Distribution Algorithms. 1-8
  
• Hiroyuki Sato, Yoshihiko Hasegawa, Danushka Bollegala, Hitoshi Iba:
  Probabilistic model building GP with Belief propagation. 1-8
  
• Manuel Blanco Abello, Zbigniew Michalewicz, Lam Thu Bui:
  A reactive-proactive approach for solving dynamic scheduling with time-varying number of Tasks. 1-10
  
• Vui Ann Shim, K. C. Tan, K. K. Tan:
  A hybrid adaptive evolutionary algorithm in the domination-based and decomposition-based frameworks of multi-objective optimization. 1-8
  
• Asad Mohammadi, Mohammad Nabi Omidvar, Xiaodong Li:
  Reference point based multi-objective optimization through decomposition. 1-8
  
• Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, David M. W. Powers:
  Dimension reduction in EEG data using Particle Swarm Optimization. 1-8
  
• Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, David M. W. Powers:
  Adapting subject-independent task-specific EEG feature masks using PSO. 1-7
  
• Guangrui Zhang, Mahdi Mahfouf, George Panoutsos, Shen Wang:
  A multi-objective particle swarm optimization algorithm with a dynamic hypercube archive, mutation and population competition. 1-7
  
• Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge:
  Landscape characterization of numerical optimization problems using biased scattered data. 1-8
  
• Alfredo Arias Montaño, Carlos A. Coello Coello, Efrén Mezura-Montes:
  Multi-objective airfoil shape optimization using a multiple-surrogate approach. 1-8
  
• Koji Shimoyama, Koma Sato, Shinkyu Jeong, Shigeru Obayashi:
  Comparison of the criteria for updating Kriging response surface models in multi-objective optimization. 1-8
  
• Jaime C. Cepeda, José Luis Rueda, István Erlich:
  Identification of dynamic equivalents based on heuristic optimization for smart grid applications. 1-8
  
• Tea Tusar, Erik Dovgan, Bogdan Filipic:
  Evolutionary scheduling of flexible offers for balancing electricity supply and demand. 1-8
  
• James J. Q. Yu, Victor O. K. Li, Albert Y. S. Lam:
  Sensor deployment for air pollution monitoring using public transportation system. 1-7
  
• Santiago Vazquez-Rodriguez, Jesus A. Gomollon, Gervasio Varela, Alejandro Paz-Lopez:
  Non-observability analysis by means of an evolutionary technique in measured Electric Power Systems. 1-7
  
• Stephen Chen:
  Particle swarm optimization with pbest crossover. 1-6
  
• Amit Saha, Tapabrata Ray:
  A repair mechanism for active inequality constraint handling. 1-8
  
• Hao Zhang, Yunlong Zhu, Xiaohui Yan:
  Multi-hive artificial bee colony algorithm for constrained multi-objective optimization. 1-8
  
• Krishna Veni Selvan, Mohd Saufee Muhammad, Sharifah Masniah Wan Masra:
  Ensembles of DNA letters for the design of unique DNA library using a modified version of multi-criteria VEDEPSO optimizer. 1-8
  
• Olfa Dridi, Saoussen Krichen, Adel Guitouni:
  A multi-objective optimization approach for resource assignment and task scheduling problem: Application to maritime domain awareness. 1-8
  
• Shi Cheng, Yuhui Shi, Quande Qin:
  Population diversity based study on search information propagation in particle swarm optimization. 1-8
  
• Viswanath Avasarala, Piero P. Bonissone:
  iPresage: An innovative patent landscaping tool. 1-7
  
• Yu Guo, Wei-neng Chen, Jun Zhang:
  Enhancing the performance of evolutionary algorithms: A novel maturity-based adaptation strategy. 1-8
  
• Marcel Kroetz, Tania Mezzadri Centeno, Myriam Regattieri Delgado, Marcelo Kleber Felisberto, Luís Alberto Lucas, Leyza B. Dorini, Vitor Fylyk, Allan Vieira:
  Genetic algorithms to automatic weld bead detection in double wall double image digital radiographs. 1-7
  
• Kaibo Zhang, Bin Li, Lixiang Tan:
  Empirical study of the effect of variable correlation on grouping in Cooperative Coevolutionary Evolutionary Algorithms. 1-7
  
• Zhifei Shao, Meng Joo Er:
  A review of inverse reinforcement learning theory and recent advances. 1-8
  
• Peter Korosec, Jurij Silc:
  The continuous differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. 1-8
  
• Marcos Álvares Barbosa Junior, Fernando Buarque de Lima Neto, Tshilidzi Marwala:
  Optimizing risk management using NSGA-II. 1-8
  
• Henry Lehmann, Stefan Menzel:
  Evolvability as concept for the optimal design of free-form deformation control volumes. 1-8
  
• Luciano R. Silveira, Ricardo Tanscheit, Marley B. R. Vellasco:
  Quantum-inspired genetic algorithms applied to ordering combinatorial optimization problems. 1-7
  
• Bing Li, Xianneng Li, Shingo Mabu, Kotaro Hirasawa:
  Towards automatic discovery and reuse of subroutines in Variable Size Genetic Network Programming. 1-8
  
• Chun-Wei Tsai, Jui-Le Chen, Chu-Sing Yang:
  An improved LGA for protein-ligand docking prediction. 1-6
  
• Jiaqing Xu, Qi Lv, Jie Zhou, Yong Dou:
  A self-organizing and self-adaptive French flag Organism based on lateral activation model. 1-8
  
• Jun-Wei Qiu, John K. Zao, Yu-Hsiang Chou:
  A geometrically faithful memetic algorithm for searching sparse representations of EEG signals. 1-7
  
• Jailton Louzada, Celso G. Camilo-Junior, Auri Vincenzi, Cássio L. Rodrigues:
  An elitist evolutionary algorithm for automatically generating test data. 1-8
  
• Ali Sharifi, Vahid Noroozi, Masoud Bashiri, Ali B. Hashemi, Mohammad Reza Meybodi:
  Two phased cellular PSO: A new collaborative cellular algorithm for optimization in dynamic environments. 1-8
  
• Xing Fang, Nicholas Koceja, Justin Zhan, Gerry V. Dozier, Dasgupta Dipankar:
  An artificial immune system for phishing detection. 1-7
  
• Kalyanmoy Deb, Himanshu Jain:
  Handling many-objective problems using an improved NSGA-II procedure. 1-8
  
• Rachel Hunt, Kourosh Neshatian, Mengjie Zhang:
  Scalability analysis of genetic programming classifiers. 1-8
  
• Yan Meng, Hongliang Guo:
  A gene regulatory network based framework for self-organization in mobile sensor networks. 1-7
  
• Mio Takano, Yuko Osana:
  Automatic composition system using genetic algorithm and N-gram model considering melody blocks. 1-8
  
• Rammohan Mallipeddi, Minho Lee:
  Ensemble based face recognition using discriminant PCA Features. 1-7
  
• Alfredo Goldman, Yanik Ngoko, Denis Trystram:
  Malleable resource sharing algorithms for cooperative resolution of problems. 1-8
  
• D. Watanabe, K. Ito:
  Roles of real-world properties in the Baldwin effect. 1-8
  
• Mohammad Osiur Rahman, Aini Hussain, Edgar Scavino, M. A. Hannan, Hassan Basri:
  Object identification using DNA computing algorithm. 1-7
  
• Maolin Tang:
  Evolutionary placement of continuously operating reference stations of Network Real-Time Kinematic. 1-8
  
• Oleg Kovárík, Pavel Kordík:
  Max-min ant system with linear memory complexity. 1-5
  
• Benjamin Lacroix, Daniel Molina, Francisco Herrera:
  Region based memetic algorithm with LS chaining. 1-6
  
• Stjepan Picek, Marin Golub, Domagoj Jakobovic:
  Influence of the crossover operator in the performance of the hybrid Taguchi GA. 1-8
  
• Geoffrey Neumann, David Cairns:
  Targeted EDA adapted for a routing problem with variable length chromosomes. 1-8
  
• Cristiane G. Taroco, Eduardo G. Carrano, Ricardo H. C. Takahashi, Oriane M. Neto:
  A faster genetic algorithm for substation location and network design of power distribution systems. 1-6
  
• Arindam Jati, Garima Singh, Pratyusha Rakshit, Amit Konar, Eunjin Kim, Atulya K. Nagar:
  A hybridisation of Improved Harmony Search and Bacterial Foraging for multi-robot motion planning. 1-8
  
• Zhenan He, Gary G. Yen:
  A new fitness evaluation method based on fuzzy logic in multiobjective evolutionary algorithms. 1-8
  
• Qiao Shi, Wei Yin, Andy Song:
  Analysis of motion detectors evolved by Genetic Programming. 1-8
  
• Takahiro Tsujimoto, Takuya Shindo, Takayuki Kimura, Kenya Jin'no:
  A relationship between network topology and search performance of PSO. 1-6
  
• Slawomir Wesolkowski, Daniel Wojtaszek:
  SaFESST: Stochastic Fleet Estimation under Steady State Tasking via evolutionary fleet scheduling. 1-8
  
• Rafael Falcon, Rami S. Abielmona:
  A response-aware risk management framework for search-and-rescue operations. 1-8
  
• Chih-Li Huo, Shu-Yan Lin, Tzu-Ying Lai, Yean-Shain Lien, Tsung-Ying Sun:
  Multi-Objective Differential Evolution with Taguchi-based adjustable proportional distribution. 1-8
  
• Ruochen Liu, Xiao Wang, Yangyang Li, Xiangrong Zhang:
  Multi-objective Invasive Weed Optimization algortihm for clustering. 1-8
  
• Soumyadip Sengupta, Swagatam Das, Md. Nasir, Athanasios V. Vasilakos, Witold Pedrycz:
  Energy-efficient differentiated coverage of dynamic objects using an improved evolutionary multi-objective optimization algorithm with fuzzy-dominance. 1-8
  
• Grant Dick:
  Niche allocation in spatially-structured evolutionary algorithms with gradients. 1-8
  
• Bernabé Dorronsoro, Pascal Bouvry:
  Study of different small-world topology generation mechanisms for Genetic Algorithms. 1-8
  
• António Leitão, Francisco Baptista Pereira, Penousal Machado:
  Enhancing cluster geometry optimization with Island Models. 1-8
  
• Alberto Moraglio, Fernando E. B. Otero, Colin G. Johnson, Simon Thompson, Alex Alves Freitas:
  Evolving recursive programs using non-recursive scaffolding. 1-8
  
• Yanyun Tao, Jian Cao, Yuzhen Zhang, Jiajun Lin, Minglu Li:
  Using module-level Evolvable Hardware approach in design of sequential logic circuits. 1-8
  
• Tom Castle, Colin G. Johnson:
  Evolving program trees with limited scope variable declarations. 1-8
  
• Zhou Wu, Lu Xu, Tommy W. S. Chow, Ming-Bo Zhao:
  Local cooperation delivers global optimization. 1-8
  
• Richa Bansal, Kamal Srivastava, Sanjay Srivastava:
  A hybrid evolutionary algorithm for the cutwidth minimization problem. 1-8
  
• Ahmed El-Bouri:
  An investigation of initial solutions on the performance of an iterated local search algorithm for the permutation flowshop. 1-5
  
• Colin G. Johnson:
  Search-based evolutionary operators for extensionally-defined search spaces: Applications to image search. 1-7
  
• Ankur Sinha, Anmol Pandey, Kalyanmoy Deb:
  Solving high objective problems in fixed interactions with the decision maker. 1-8
  
• Waldo Cancino Ticona, Nadia Boukhelifa, Evelyne Lutton:
  EvoGraphDice: Interactive evolution for visual analytics. 1-8
  
• Jeremy Stringer, Gary B. Lamont, Geoffrey Akers:
  Radar phase-coded waveform design using MOEAs. 1-8
  
• Si-Jung Ryu, Ki-Baek Lee, Jong-Hwan Kim:
  Improved version of a multiobjective quantum-inspired evolutionary algorithm with preference-based selection. 1-7
  
• Claudia Szabo, Trent Kroeger:
  Evolving multi-objective strategies for task allocation of scientific workflows on public clouds. 1-8
  
• Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
  Unconstrained scalable test problems for single-objective bilevel optimization. 1-8
  
• Claire Diora Jordan, Trent Kroeger:
  An evolutionary algorithm for bilevel optimisation of Men's Team Pursuit Track Cycling. 1-8
  
• Slawomir Wesolkowski, Daniel Wojtaszek, Kyle Willick:
  Multi-objective optimization of the fleet mix problem using the SaFER model. 1-8
  
• Miwako Tsuji, Mitsuhisa Sato, Akifumi S. Tanabe, Yuji Inagaki, Tetsuo Hashimoto:
  An asynchronous parallel genetic algorithm for the maximum likelihood phylogenetic tree search. 1-8
  
• Camelia Chira, Anca Gog, David Iclanzan:
  Evolutionary detection of community structures in complex networks: A new fitness function. 1-8
  
• Zeratul Izzah Mohd Yusoh, Maolin Tang:
  Clustering composite SaaS components in Cloud computing using a Grouping Genetic Algorithm. 1-8
  
• Miguel Nicolau, Michael O'Neill, Anthony Brabazon:
  Termination in Grammatical Evolution: grammar design, wrapping, and tails. 1-8
  
• Yoshiko Hanada, Nagahiro Hosokawa, Keiko Ono, Mitsuji Muneyasu:
  Effectiveness of Multi-step Crossover Fusions in genetic programming. 1-8
  
• Kangil Kim, Nguyen Xuan Hoai, Bob McKay:
  Implicit bias and recursive grammar structures in estimation of distribution genetic programming. 1-8
  
• Antonio Bolufé Röhler, Stephen Chen:
  Multi-swarm hybrid for multi-modal optimization. 1-8
  
• Aldeida Aleti, Irene Moser, Sanaz Mostaghim:
  Adaptive Range Parameter Control. 1-8
  
• Jing J. Liang, X. B. Mao, Bo-Yang Qu, B. Niu, T. J. Chen:
  Elite Multi-Group Differential Evolution. 1-7
  
• Anthony Knittel:
  Learning feature hierarchies under reinforcement. 1-8
  
• Albert Y. S. Lam, Victor O. K. Li, Zhao Wei:
  Chemical Reaction Optimization for the Fuzzy Rule learning problem. 1-8
  
• Henry Williams, Will N. Browne:
  Integration of Learning Classifier Systems with simultaneous localisation and mapping for autonomous robotics. 1-8
  
• Gareth Jones, Chris Lovell, Steve R. Gunn, Hywel Morgan, Klaus-Peter Zauner:
  Enabling the discovery of computational characteristics of enzyme dynamics. 1-8
  
• Pavel Bhowmik, Pratyusha Rakshit, Amit Konar, Eunjin Kim, Atulya K. Nagar:
  DE-TDQL: An adaptive memetic algorithm. 1-8
  
• Abhronil Sengupta, Tathagata Chakraborti, Amit Konar, Eunjin Kim, Atulya K. Nagar:
  An Adaptive Memetic Algorithm using a synergy of Differential Evolution and Learning Automata. 1-8
  
• Josiah Poon, Dawei Yin, Simon K. Poon, Runshun Zhang, Baoyan Liu, Daniel Man-yuen Sze:
  Co-evolution of symptom-herb relationship. 1-6
  
• Thayalan Sandran, Nordin Zakaria, Anindya Jyoti Pal:
  Performance profile of some hybrid heuristic search techniques using compiler flag selection as a seed example. 1-5
  
• Hien Duy Nguyen, Ian A. Wood:
  Variable selection in statistical models using population-based incremental learning with applications to genome-wide association studies. 1-8
  
• Gene M. Ko, A. Srinivas Reddy, Sunil Kumar, Rajni Garg, Barbara A. Bailey, Ahmad R. Hadaegh:
  Differential evolution-binary particle swarm optimization algorithm for the analysis of aryl β-diketo acids for HIV-1 integrase inhibition. 1-7
  
• Rumana Nazmul, Madhu Chetty, Ram Samudrala, David Chalmers:
  Protein structure prediction based on optimal hydrophobic core formation. 1-9
  
• Leon Palafox, Hitoshi Iba:
  On the use of Population Based Incremental Learning to do Reverse Engineering on Gene Regulatory Networks. 1-8
  
• Ayub Hanif, Robert E. Smith:
  Generation path-switching in sequential Monte-Carlo methods. 1-7
  
• Chia-Hsuan Yeh, Chun-Yi Yang:
  Can learning affect the effectiveness of price limits? 1-8
  
• G. A. Vijayalakshmi Pai, Thierry Michel:
  Differential evolution based optimization of risk budgeted Equity Market Neutral Portfolios. 1-8
  
• Diego J. Bodas-Sagi, Francisco J. Soltero, José Ignacio Hidalgo, Pablo Fernández, F. Fernandez:
  A technique for the optimization of the parameters of technical indicators with Multi-Objective Evolutionary Algorithms. 1-8
  
• Bo Liu, Qingfu Zhang, Francisco V. Fernández, Georges G. E. Gielen:
  Self-adaptive lower confidence bound: A new general and effective prescreening method for Gaussian Process surrogate model assisted evolutionary algorithms. 1-6
  
• Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene:
  Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions. 1-8
  
• Eugene Semenkin, Maria Semenkina:
  Self-configuring genetic programming algorithm with modified uniform crossover. 1-6
  
• Dao Ngoc Phong, Nguyen Quang Uy, Nguyen Xuan Hoai, Robert I. McKay:
  Evolving approximations for the Gaussian Q-function by Genetic Programming with semantic based crossover. 1-6
  
• Feng Xie, Andy Song, Victor Ciesielski:
  Event detection in time series by genetic programming. 1-8
  
• Cristian Rotaru, Octav Brudaru:
  Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs. 1-8
  
• Stephen Chen, Carlos Xudiera, James Montgomery:
  Simulated annealing with thresheld convergence. 1-7
  
• Mehmet Fatih Tasgetiren, Önder Bulut, Mehmet Murat Fadiloglu:
  A discrete harmony search algorithm for the economic lot scheduling problem with power of two policy. 1-8
  
• Hassan A. Bashir, Richard Stuart Neville:
  Convergence measurement in evolutionary computation using Price's theorem. 1-8
  
• Zhi-hui Zhan, Jun Zhang, Yu-hui Shi, Hai-lin Liu:
  A modified brain storm optimization. 1-8
  
• Sanjay Srivastava, Yogesh K. Anand:
  An intelligent system to address occupational health of workers exposed to high risk jobs. 1-7
  
• Ricardo A. L. Rabelo, Ricardo A. S. Fernandes, Ivan N. Silva:
  Operational planning of hydrothermal systems based on a fuzzy-PSO approach. 1-8
  
• Oscar J. Romero López, Angélica de Antonio:
  Evolving the way of doing the right thing. 1-8
  
• Sandeep Paul, Satish Kumar, Lotika Singh:
  Novel hybrid compact genetic algorithm for simultaneous structure and parameter learning of neural networks. 1-6
  
• Yang Li:
  Adaptive learning evaluation model for evolutionary art. 1-8
  
• Tatsuo Unemi:
  SBArt4 for an automatic evolutionary art. 1-8
  
• Hsueh En Huang, Yew-Soon Ong, Xianshun Chen:
  Autonomous flock brush for non-photorealistic rendering. 1-8
  
• Y. Volkan Pehlivanoglu, Oktay Baysal:
  Improved particle swarm optimization: Catching the big wave on the surf. 1-8
  
• Rituparna Datta, Michael S. Bittermann, Kalyanmoy Deb, Özer Ciftcioglu:
  Probabilistic constraint handling in the framework of joint evolutionary-classical optimization with engineering applications. 1-8
  
• Kit Yan Chan, Sai-Ho Ling, Hung T. Nguyen, Frank Jiang:
  A hypoglycemic episode diagnosis system based on neural networks for Type 1 diabetes mellitus. 1-6
  
• Long Wen, Liang Gao, Xinyu Li, Yang Yang, Guohui Zhang:
  Application of Free Pattern Search on the surface roughness prediction in end milling. 1-6
  
• Yao Liu, Yuk Ying Chung, Wei-Chang Yeh:
  Simplified Swarm Optimization with Sorted Local Search for golf data classification. 1-8
  
• Qiang Lu, Qing-Long Han:
  A finite-time particle swarm optimization algorithm. 1-8
  
• Yue-jiao Gong, Jun Zhang:
  Real-time traffic signal control for roundabouts by using a PSO-based fuzzy controller. 1-8
  
• Yuan Yuan, Hua Xu:
  HHS/LNS: An integrated search method for flexible job shop scheduling. 1-8
  
• William L. Raffe, Fabio Zambetta, Xiaodong Li:
  A survey of procedural terrain generation techniques using evolutionary algorithms. 1-8
  
• Antonio LaTorre, Santiago Muelas, José María Peña:
  Multiple Offspring Sampling in Large Scale Global Optimization. 1-8
  
• Shing Wa Leung, Xin Zhang, Shiu Yin Yuen:
  Multiobjective differential evolution algorithm with opposition-based parameter control. 1-8
  
• Tetsuyuki Takahama, Setsuko Sakai:
  Differential evolution with dynamic strategy and parameter selection by detecting landscape modality. 1-8
  
• Jin Xu, Albert Y. S. Lam, Victor O. K. Li, Qiwei Li, Xiaodan Fan:
  Short adjacent repeat identification based on Chemical Reaction Optimization. 1-8
  
• Sriharsha Vathsavayi, Outi Räihä, Kai Koskimies:
  Using quality farms in multi-objective genetic software architecture synthesis. 1-8
  
• Sanderson C. Vanucci, Eduardo G. Carrano, Rafael Bicalho, Ricardo H. C. Takahashi:
  A modified NSGA-II for the Multiobjective Multi-mode Resource-Constrained Project Scheduling Problem. 1-7
  
• Bing Xue, Mengjie Zhang, Will N. Browne:
  New fitness functions in binary particle swarm optimisation for feature selection. 1-8
  
• Fei-yue Qiu, Yu-shi Wu, Li-ping Wang, Bo Jiang:
  Bipolar preferences dominance based evolutionary algorithm for many-objective optimization. 1-8
  
• Aram Ter-Sarkisov:
  Elitism Levels Traverse Mechanism for the derivation of upper bounds on unimodal functions. 1-8
  
• Francois Legillon, Arnaud Liefooghe, El-Ghazali Talbi:
  CoBRA: A cooperative coevolutionary algorithm for bi-level optimization. 1-8
  
• Wei Fang, Jun Sun, Xiaojun Wu, Wenbo Xu, Vasile Palade:
  Study on the compression-expansion coefficient in drift particle swarm optimization. 1-6
  
• Juan J. Merelo Guervós, Antonio Mora García, J. Albert Cruz, Anna Isabel Esparcia-Alcázar, Carlos Cotta:
  Scaling in distributed evolutionary algorithms with persistent population. 1-8
  
• Xiangjuan Yao, Dunwei Gong, Yongjin Luo, Ming Li:
  Test data reduction based on dominance relations of target statements. 1-8
  
• Xinguo Shui, Xingquan Zuo, Cheng Chen:
  A cultural clonal selection algorithm based fast vehicle scheduling approach. 1-7
  
• Rodrigo Antonio Faccioli, Ivan Nunes da Silva, Leandro Oliveira Bortot, Alexandre C. B. Delbem:
  A mono-objective evolutionary algorithm for Protein Structure Prediction in structural and energetic contexts. 1-7
  
• Yanjuan Li, Maozu Guo:
  Phase transition and New Fitness Function based Genetic Inductive Logic Programming algorithm. 1-8
  
• Rommel Dias Saraiva, Plácido Rogério Pinheiro:
  A novel application of crossover operator to a hybrid optimization framework: Investigation into cutting problems. 1-7
  
• Shuzhen Wan, Shengwu Xiong, Yi Liu:
  Prediction based multi-strategy differential evolution algorithm for dynamic environments. 1-8
  
• Jesus Conesa-Munoz, Angela Ribeiro, Dionisio Andujar, Cesar Fernández-Quintanilla, Jose Dorado:
  Multi-path planning based on a NSGA-II for a fleet of robots to work on agricultural tasks. 1-8
  
• Tsu-Wang Shen, Ting-Fong Laio, Shao-Tsu Chen:
  Hormone concentration inception: Development an artificial immune system with immunomodulator (AISI) intervention. 1-6
  
• Yi-Ling Wu, Tsu-Feng Ho, Shyong Jian Shyu, Bertrand M. T. Lin:
  Discrete particle swarm optimization for materials acquisition in multi-unit libraries. 1-7
  
• JiaCheng Ni, Li Li, Fei Qiao, Qidi Wu:
  A novel memetic algorithm based on the comprehensive learning PSO. 1-8
  
• Aderemi Adewumi, Nigel Budlender, Micheal Olusanya:
  Optimizing the assignment of blood in a blood banking system: Some initial results. 1-6
  
• Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco:
  Describing Quantum-Inspired Linear Genetic Programming from symbolic regression problems. 1-8
  
• Jing Liu, Weicai Zhong:
  Continuous game dynamics on populations with a cycle structure under weak selection. 1-6
  
• Arnab Ghosh, Arkabandhu Chowdhury, Subhajit Sinha, Athanasios V. Vasilakos, Swagatam Das:
  A genetic Lbest Particle Swarm Optimizer with dynamically varying subswarm topology. 1-7
  
• Laurence Rodrigues do Amaral, Estevam Rafael Hruschka Junior:
  Never-ending learning principles in gene ontology classification using genetic algorithms. 1-8
  
• Chang Kee Tong, Chin Kim On, Jason Teo, James Mountstephens:
  Game AI generation using evolutionary multi-objective optimization. 1-8
  
• Takeshi Uchitane, Toshiharu Hatanaka:
  Experimental study for multi-objective PSO with single objective guide selection. 1-6
  
• Jenn-Long Liu, Yu-Tzu Hsu, Chih-Lung Hung:
  Development of evolutionary data mining algorithms and their applications to cardiac disease diagnosis. 1-8
  
• Wei-Chang Yeh, Yuan-Ming Yeh, Chun-Hua Chou, Yuk Ying Chung, Xiangjian He:
  A radio frequency identification network design methodology for the decision problem in Mackay Memorial Hospital based on swarm optimization. 1-7
  
• Li Feng Zhang, Chen Xi Zhou:
  Self organized parallel genetic algorithm to automatically realize diversified convergence. 1-9
  
• Marco Mussetta, Francesco Grimaccia, Riccardo Enrico Zich:
  Comparison of different optimization techniques in the design of electromagnetic devices. 1-6
  
• Anguluri Rajasekhar, Swagatam Das, Ponnuthurai N. Suganthan:
  Design of Fractional Order Controller for a servohydraulic positioning system with micro Artificial Bee Colony algorithm. 1-8
  
• Tzung-Pei Hong, Feng-Shih Lin, Chun-Hao Chen:
  Using the group genetic algorithm for attribute clustering. 1-5
  
• Chung-Ming Ou, Chung-Ren Ou:
  Immune memory with associativity: Perspectives on dynamical systems. 1-6
  
• Md. Nasir, Soumyadip Sengupta, Swagatam Das, Ponnuthurai N. Suganthan:
  An improved multi-objective optimization algorithm based on fuzzy dominance for risk minimization in biometric sensor network. 1-8
  
• David Iclanzan, Camelia Chira:
  Modeling and replicating higher-order dependencies in genetic algorithms. 1-8
  
• Zdenek Vasícek, Lukás Sekanina:
  On area minimization of complex combinational circuits using cartesian genetic programming. 1-8
  
• Chun-Kit Au, Ho-Fung Leung:
  Eigenspace sampling in the mirrored variant of (1, λ)-CMA-ES. 1-8
  
• Susana M. Vieira, Luís F. Mendonça, Goncalo J. Farinha, Joao M. C. Sousa:
  Metaheuristics for feature selection: Application to sepsis outcome prediction. 1-8
  
• Shafiq Alam, Gillian Dobbie, Patricia Riddle, Yun Sing Koh:
  Hierarchical PSO clustering based recommender system. 1-8
  
• Myeong-Chun Lee, Sung-Bae Cho:
  Interactive differential evolution for image enhancement application in smart phone. 1-6
  
• Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
  Finding a preferred diverse set of Pareto-optimal solutions for a limited number of function calls. 1-8