CEC 2003: Canberra, Australia

Volume 1

• Yuren Zhou, Yuanxing Li, Jun He, Lishan Kang:
  Multi-objective and MGG evolutionary algorithm for constrained optimization. 1-5
  
• Efrén Mezura-Montes, Carlos A. Coello Coello:
  Adding a diversity mechanism to a simple evolution strategy to solve constrained optimization problems. 6-13
  
• Jhingzi Li, Lishan Kang, Zhijian Wu:
  An adaptive neighborhood-based multi-parent crossover operator for real-coded genetic algorithms. 14-21
  
• Shigeyoshi Tsutsui, Tomoyuki Hiroyasu, Mitsunori Miki:
  The effect of introducing a tag node in solving scheduling problems using histogram based sampling algorithms. 22-29
  
• Thomas Jansen, R. Paul Wiegand:
  Sequential versus parallel cooperative coevolutionary (1+1) EAs. 30-37
  
• Mohamed Mohideen Anver, Russel J. Stonier:
  A coevolutionary approach for optimization of image enhancement filters. 38-45
  
• Dan Ashlock, Elizabeth Blankenship, Jonathan Gandrud:
  A note on general adaptation in populations of painting robots. 46-53
  
• Ricardo M. Hoar, Joanne K. Penner, Christian Jacob:
  Transcription and evolution of a virtual bacteria culture. 54-61
  
• Per Kristian Lehre, Pauline C. Haddow:
  Developmental mappings and phenotypic complexity. 62-68
  
• Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
  Genetic network programming with learning and evolution for adapting to dynamical environments. 69-76
  
• Kay Chen Tan, W. Peng, Tong Heng Lee, Ji Cai:
  Development of a distributed evolutionary computing package. 77-84
  
• Irman Hermadi, Moataz A. Ahmed:
  Genetic algorithm based test data generator. 85-91
  
• Jin-Hyuk Hong, Sung-Bae Cho:
  MEH: modular evolvable hardware for designing complex circuits. 92-99
  
• Xing Quan Zuo, Shi Yong Li:
  Design of a fuzzy logical controller by immune algorithm with application to an inverted pendulum system. 100-106
  
• Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi, Antonio Parlato:
  An evolutionary approach for reducing the switching activity in address buses. 107-114
  
• Naofumi Homma, Masanori Natsui, Takafumi Aoki, Tatsuo Higuchi:
  VLSI circuit design using an object-oriented framework of evolutionary graph generation system. 115-122
  
• Dipankar Dasgupta, Zhou Ji, F. Gonzalez:
  Artificial immune system (AIS) research in the last five years. 123-130
  
• Andrew Secker, Alex Alves Freitas, Jon Timmis:
  AISEC: an artificial immune system for e-mail classification. 131-138
  
• Jacob T. Jackson, Gregg H. Gunsch, Roger L. Claypoole Jr., Gary B. Lamont:
  Novel steganography detection using an artificial immune system approach. 139-145
  
• Leandro Nunes de Castro:
  The immune response of an artificial immune network (aiNet). 146-153
  
• Yasuhiro Takahashi, Yasuhito Kawano, Masahiro Kitagawa:
  On the computational power of constant-depth quantum circuits with gates for addition. 154-161
  
• Tianhai Tian, Kevin Burrage:
  Stochastic neural network models for gene regulatory networks. 162-169
  
• André Leier, Wolfgang Banzhaf:
  Exploring the search space of quantum programs. 170-177
  
• Kuk-Hyun Han, Jong-Hwan Kim:
  On setting the parameters of quantum-inspired evolutionary algorithm for practical application. 178-194
  
• Kai Willadsen, Janet Wiles:
  Dynamics of gene expression in an artificial genome. 185-190
  
• Peter Eggenberger Hotz:
  Genome-physics interaction as a new concept to reduce the number of genetic parameters in artificial evolution. 191-198
  
• Nicholas Geard, Janet Wiles:
  Structure and dynamics of a gene network model incorporating small RNAs. 199-206
  
• Shin Ando, Hitoshi Iba:
  Estimation of gene regulatory network by genetic algorithm and pairwise correlation analysis. 207-214
  
• D. W. van der Merwe, Andries Petrus Engelbrecht:
  Data clustering using particle swarm optimization. 215-220
  
• Yong-ling Zheng, Long-hua Ma, Li-yan Zhang, Ji-xin Qian:
  Empirical study of particle swarm optimizer with an increasing inertia weight. 221-226
  
• Ulrich Paquet, Andries Petrus Engelbrecht:
  A new particle swarm optimiser for linearly constrained optimisation. 227-233
  
• Nelis Franken, Andries Petrus Engelbrecht:
  Comparing PSO structures to learn the game of checkers from zero knowledge. 234-241
  
• Lirong Tian, Tughrul Arslan:
  A genetic algorithm for energy efficient device scheduling in real-time systems. 242-247
  
• Sin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung:
  Evolving data classification programs using genetic parallel programming. 248-255
  
• Adnan Acan, Hakan Altinçay, Yüce Tekol, Ahmet Ünveren:
  A genetic algorithm with multiple crossover operators for optimal frequency assignment problem. 256-263
  
• Gary Gréwal, M. O'Cleirigh, Mark Wineberg:
  An evolutionary approach to behavioural-level synthesis. 264-272
  
• Sébastien Vérel, Philippe Collard, Manuel Clergue:
  Where are bottlenecks in NK fitness landscapes? 273-280
  
• Michael Defoin-Platel, Manuel Clergue, Philippe Collard:
  Homology gives size control in genetic programming. 281-288
  
• Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Manuel Clergue:
  Fitness distance correlation in genetic programming: a constructive counterexample. 289-296
  
• Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty:
  An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms. 297-304
  
• Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano, Leonardo Vanneschi, Marco Tomassini:
  Diversity analysis in cellular and multipopulation genetic programming. 305-311
  
• René Thomsen, Gary B. Fogel, Thiemo Krink:
  Improvement of clustal-derived sequence alignments with evolutionary algorithms. 312-319
  
• Clare Bates Congdon, Kevin J. Septor:
  Phylogenetic trees using evolutionary search: initial progress in extending Gaphyl to work with genetic data. 320-326
  
• Jakob Vesterstrom:
  Physical mapping using annealing and evolutionary algorithms. 327-334
  
• Kay C. Wiese, Alain Deschênes, Edward Glen:
  Permutation-based RNA secondary structure prediction via a genetic algorithm. 335-342
  
• Andrew Hendriks, Kay C. Wiese, Edward Glen, Alain Deschênes:
  A distributed genetic algorithm for RNA secondary structure prediction. 343-350
  
• Simon M. Lucas, T. Jeff Reynolds:
  Learning DFA: evolution versus evidence driven state merging. 351-358
  
• Magdalena D. Bugajska, Alan C. Schultz:
  Anytime coevolution of form and function. 359-366
  
• Henry Kwong, Christian Jacob:
  Evolutionary exploration of dynamic swarm behaviour. 367-374
  
• Sadiq M. Sait, Mostafa Abd-El-Barr, Uthman S. Al-Saiari, Bambang A. B. Sarif:
  Digital circuit design through simulated evolution (SimE). 375-381
  
• Robert Thomson, Tughrul Arslan:
  On the impact of modelling, robustness and diversity to the performance of a multi-objective evolutionary algorithm for digital VLSI system design. 382-389
  
• Terri Oda, Tony White:
  Increasing the accuracy of a spam-detecting artificial immune system. 390-396
  
• Lei Wang, Béat Hirsbrunner:
  An evolutionary algorithm with population immunity and its application on autonomous robot control. 397-404
  
• Jungwon Kim, Arlene Ong, Richard E. Overill:
  Design of an artificial immune system as a novel anomaly detector for combating financial fraud in the retail sector. 405-412
  
• Johnny Kelsey, Jonathan Timmis, Andrew Hone:
  Chasing chaos. 413-419
  
• Patrícia Amâncio Vargas, Leandro Nunes de Castro, Roberto Michelan, Fernando J. Von Zuben:
  Implementation of an immuno-genetic network on a real Khepera II robot. 420-426
  
• Yaniv Bernstein, Xiaodong Li:
  Critical dynamics in evolutionary algorithms. 427-434
  
• Hussein A. Abbass, A. M. Bagirov, J. Zhang:
  The discrete gradient evolutionary strategy method for global optimization. 435-442
  
• Bo Yuan, Marcus Gallagher:
  Playing in continuous spaces: some analysis and extension of population-based incremental learning. 443-450
  
• Bo Yuan, Marcus Gallagher:
  On building a principled framework for evaluating and testing evolutionary algorithms: a continuous landscape generator. 451-458
  
• Mitsunori Miki, Tomoyuki Hiroyasu, Jun'ya Wako, Takeshi Yoshida:
  Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing. 459-466
  
• Russel J. Stonier, N. Young:
  Co-evolutionary learning and hierarchical fuzzy control for the inverted pendulum. 467-473
  
• Jun Zhang, Henry Shu-Hung Chung, Wai-Lun Lo, Eugene P. W. Tam, J. J. Lee, Angus K. M. Wu:
  Pseudo-coevolutionary genetic algorithms for power electronic circuits optimization. 474-481
  
• Carlos A. Coello Coello, Margarita Reyes Sierra:
  A coevolutionary multi-objective evolutionary algorithm. 482-489
  
• Joseph A. Rothermich, Fang Wang, Julian Francis Miller:
  Adaptivity in cell based optimization for information ecosystems. 490-497
  
• J. E. Smith:
  Co-evolving memetic algorithms: a learning approach to robust scalable optimisation. 498-505
  
• Shotaro Kamio, Hitoshi Iba:
  Real-time adaptation technique to real robots: an experiment with a humanoid robot. 506-513
  
• Genci Capi, Kenji Doya:
  Evolving recurrent neural controllers for sequential tasks: a parallel implementation. 514-519
  
• Hoi Shun Miu, Kwong-Sak Leung, Yee Leung:
  An evolutionary multi-agent system for object recognition in satellite images. 520-527
  
• Leland Hovey, Dmitri E. Volper, Jae C. Oh:
  Evolution of optimal compute server clusters for dynamic load-balancing systems. 528-535
  
• Gary B. Parker, H. Joseph Blumenthal:
  Comparison of sampling sizes for the co-evolution of cooperative agents. 536-543
  
• Jean-Baptiste Gotteland, Nicolas Durand:
  Genetic algorithms applied to airport ground traffic optimization. 544-551
  
• Atsuko Mutoh, Tsuyoshi Nakamura, Shohei Kato, Hidenori Itoh:
  Reducing execution time on genetic algorithm in real-world applications using fitness prediction: parameter optimization of SRM control. 552-559
  
• Adnan Acan, Ahmet Ünveren, Yüce Tekol:
  Evolutionary estimation of assignment-ordering function for CSP-modeled combinatorial optimization. 560-565
  
• Kokolo Ikeda, Akihiro Nagaiwa, Kei Aoki, Shigenobu Kobayashi:
  Independent constraint satisfaction and its application to sewerage system control. 566-573
  
• Renato Reder Cazangi, Fernando J. Von Zuben, Maurício Figueiredo:
  A classifier system in real applications for robot navigation. 574-580
  
• Jianxiong Wang, Tom Downs:
  Tuning pattern classifier parameters using a genetic algorithm with an application in mobile robotics. 581-586
  
• Zhao Xu, Zhao Yang Dong, K. P. Wong:
  Optimal dispatch of spinning reserve in a competitive electricity market using genetic algorithm. 587-592
  
• C. S. Chang, L. R. Lu, F. Wang:
  Application of differential evolution for harmonic worst-case identification of mass rapid transit power supply system. 593-599
  
• Kieun Kim, Chilukuri K. Mohan:
  Parallel hierarchical adaptive genetic algorithm for fragment assembly. 600-607
  
• Yanan Zhang, Wanquan Liu, Zhaoyang Dong:
  A learning approach for performance evaluation of local network. 608-614
  
• Ryohei Morishita, Hiroaki Imade, Isao Ono, Norihiko Ono, Masahiro Okamoto:
  Finding multiple solutions based on an evolutionary algorithm for inference of genetic networks by S-system. 615-622
  
• Hiroaki Imade, Ryohei Morishita, Isao Ono, Norihiko Ono, Masahiro Okamoto:
  A framework of grid-oriented genetic algorithms for large-scale optimization in bioinformatics. 623-630
  
• Shuhei Kimura, Mariko Hatakeyama, Akihiko Konagaya:
  Inference of S-system models of genetic networks using a genetic local search. 631-638
  
• Hidefumi Sawai, Hideaki Suzuki:
  Chemical genetic algorithms - coevolutionary genotype-phenotype mapping by modelling of metabolism in cell. 639-646
  
• Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin, Bernhard Sendhoff:
  Comparative studies on micro heat exchanger optimisation. 647-654
  
• Kang Tai, Shamim Akhtar:
  Development and testing of a morphological geometric representation scheme for topology design optimization using a genetic algorithm. 655-662
  
• Lars Willmes, Thomas Bäck, Yaochu Jin, Bernhard Sendhoff:
  Comparing neural networks and Kriging for fitness approximation in evolutionary optimization. 663-670
  
• Sheng Yin Wang, Kang Tai:
  A bit-array representation GA for structural topology optimization. 671-677
  
• Andrew Lim, Brian Rodrigues, Fei Xiao:
  Using an evolutionary algorithm for bandwidth minimization. 678-683
  
• Ming Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu Sugiyama:
  Group selection and its application to constrained evolutionary optimization. 684-691
  
• Holger Ulmer, Felix Streichert, Andreas Zell:
  Evolution strategies assisted by Gaussian processes with improved preselection criterion. 692-699
  
• Jörg Denzinger, Jordan Kidney:
  Improving migration by diversity. 700-707
  
• Mostafa Abd-El-Barr, Sadiq M. Sait, Bambang A. B. Sarif, Uthman S. Al-Saiari:
  A modified ant colony algorithm for evolutionary design of digital circuits. 708-715
  
• Jaime J. Dávila:
  Evolution of hierarchical neural networks for time-dependent cognitive processes: key recognition for musical compositions. 716-722
  
• Siavash Haroun Mahdavi, Sean Hanna:
  An evolutionary approach to microstructure optimisation of stereolithographic models. 723-730
  
• Gunnar Tufte, Pauline C. Haddow:
  Identification of functionality during development on a virtual Sblock FPGA. 731-738