8. SEAL 2010: Kanpur, India

Invited Paper

• Narendra Karmarkar:
  Beyond Convexity: New Perspectives in Computational Optimization. 1-23
  

Theoretical Developments

• Dimo Brockhoff:
  Optimal µ-Distributions for the Hypervolume Indicator for Problems with Linear Bi-objective Fronts: Exact and Exhaustive Results. 24-34
  
• Ramnik Arora, Utkarsh Upadhyay, Rupesh Tulshyan, Joydeep Dutta:
  A Parallel Algorithm for Solving Large Convex Minimax Problems. 35-44
  
• Mahshid Majd, Farzaneh Shoeleh, Ali Hamzeh, Sattar Hashemi:
  Towards Efficient and Effective Negative Selection Algorithm: A Convex Hull Representation Scheme. 45-54
  
• Farzaneh Shoeleh, Ali Hamzeh, Sattar Hashemi:
  To Handle Real Valued Input in XCS: Using Fuzzy Hyper-trapezoidal Membership in Classifier Condition. 55-64
  
• Xin Zhao, Dongmei Wu, Yichun Yeh, Harutoshi Ogai:
  Development of Optimal Control System for Safe Distance of Platooning Using Model Predictive Control. 65-74
  
• G. Jeyakumar, C. Shunmuga Velayutham:
  A Comparative Study on Theoretical and Empirical Evolution of Population Variance of Differential Evolution Variants. 75-79
  
• Karel Crombecq, Tom Dhaene:
  Generating Sequential Space-Filling Designs Using Genetic Algorithms and Monte Carlo Methods. 80-84
  

Evolutionary Algorithms and Applications

• Jinghui Zhong, Jun Zhang, Zhun Fan:
  MP-EDA: A Robust Estimation of Distribution Algorithm with Multiple Probabilistic Models for Global Continuous Optimization. 85-94
  
• Amit Saha, Kalyanmoy Deb:
  A Bi-criterion Approach to Multimodal Optimization: Self-adaptive Approach. 95-104
  
• Deepak Sharma:
  On the Flexible Applied Boundary and Support Conditions of Compliant Mechanisms Using Customized Evolutionary Algorithm. 105-114
  
• Marcus Randall, Andrew Lewis:
  Intensification Strategies for Extremal Optimisation. 115-124
  
• Helio J. C. Barbosa, Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca, Heder S. Bernardino:
  Comparing Two Constraint Handling Techniques in a Binary-Coded Genetic Algorithm for Optimization Problems. 125-134
  
• Kun Wang, Vinh Bui, Hussein A. Abbass:
  Evolving Stories: Tree Adjoining Grammar Guided Genetic Programming for Complex Plot Generation. 135-145
  
• Nikhil Padhye, Piyush Bhardawaj, Kalyanmoy Deb:
  Improving Differential Evolution by Altering Steps in EC. 146-155
  
• Frédéric Lardeux, Adrien Goëffon:
  A Dynamic Island-Based Genetic Algorithms Framework. 156-165
  
• Zhi-hui Zhan, Jun Zhang, Zhun Fan:
  Solving the Optimal Coverage Problem in Wireless Sensor Networks Using Evolutionary Computation Algorithms. 166-176
  
• Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam:
  A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization. 177-186
  
• D. Shi, M. Loomes, M. N. Nguyen:
  Evolutionary FCMAC-BYY Applied to Stream Data Analysis. 187-194
  
• Surya Pratap Singh, Ramalingam Anantharaj, Tamal Banerjee:
  UNIFAC Group Interaction Prediction for Ionic Liquid-Thiophene Based Systems Using Genetic Algorithm. 195-204
  
• Abhinav Malhotra, Varun Aggarwal:
  HIER-HEIR: An Evolutionary System with Hierarchical Representation and Operators Applied to Fashion Design. 205-214
  
• Ruochen Liu, Qifeng Lei, Jing Liu, Licheng Jiao:
  A Population Diversity-Oriented Gene Expression Programming for Function Finding. 215-219
  

Learning Methodologies

• Martin Holena, David Linke, Uwe Rodemerck:
  Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning. 220-229
  
• Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
  Dominance-Based Pareto-Surrogate for Multi-Objective Optimization. 230-239
  
• Anna Piwonska, Franciszek Seredynski:
  Learning Cellular Automata Rules for Pattern Reconstruction Task. 240-249
  
• Adam Ghandar, Zbigniew Michalewicz, Frank Neumann:
  Evolving Fuzzy Rules: Evaluation of a New Approach. 250-259
  
• Marconi de Arruda Pereira, Clodoveu Augusto Davis Jr., João Antônio de Vasconcelos:
  A Niched Genetic Programming Algorithm for Classification Rules Discovery in Geographic Databases. 260-269
  
• S. Chokkalingham, N. Chandrasekhar, M. Vasudevan:
  Artificial Neural Network Modeling for Estimating the Depth of Penetration and Weld Bead Width from the Infra Red Thermal Image of the Weld Pool during A-TIG Welding. 270-278
  
• Hitoshi Iima, Yasuaki Kuroe:
  Swarm Reinforcement Learning Method Based on an Actor-Critic Method. 279-288
  
• Nugroho Fredivianus, Holger Prothmann, Hartmut Schmeck:
  XCS Revisited: A Novel Discovery Component for the eXtended Classifier System. 289-298
  
• Paul Grouchy, Gabriele M. T. D'Eleuterio:
  Supplanting Neural Networks with ODEs in Evolutionary Robotics. 299-308
  
• Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi:
  Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design. 309-318
  
• António Gaspar-Cunha, Fernando Mendes, João Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro, João Carvalho das Neves:
  Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction. 319-328
  
• Thamburaj Robinson, Atulya K. Nagar, S. Jebasingh:
  Tile Pasting P System with Multiple-Edge Pasting. 329-338
  
• Abhirami Baskaran, Dhivya Karthikeyan, Anusha T. Swamy:
  Modeling and Automation of Diagnosis and Treatment of Diabetes. 339-348
  
• Václav Snásel, Pavel Krömer, Jan Platos, Ajith Abraham:
  The Evolution of Fuzzy Classifier for Data Mining with Applications. 349-358
  
• Marcus Henrique Soares Mendes, Gustavo Luís Soares, João Antônio de Vasconcelos:
  PID Step Response Using Genetic Programming. 359-368
  
• Markus Borschbach, Christian Grelle, Sascha Hauke:
  Divide and Evolve Driven by Human Strategies. 369-373
  
• Avnish K. Bhatia, Monika Sodhi, Dinesh K. Yadav, B. Prakash:
  A Genetic Algorithm for Assigning Individuals to Populations Using Multi-locus Genotyping. 374-378
  
• Indrani Goswami (Chakraborty), Pradipta Kumar Das, Amit Konar, Ramadoss Janarthanan:
  Extended Q-Learning Algorithm for Path-Planning of a Mobile Robot. 379-383
  
• Dharani Punithan, Jerome Marhic, Kangil Kim, Jakramate Bootkrajang, Robert Ian (Bob) McKay, Naoki Mori:
  An XML Format for Sharing Evolutionary Algorithm Output and Analysis. 384-388
  
• Moisés Martínez, Gustavo Recio, Pablo García, Emilio Martín, Yago Sáez:
  Car Setup Optimisation. 389-393
  

Multi-Objective Evolutionary Algorithms and Applications

• Gideon Avigad, Erella Eisenstadt:
  Robustness of Multi-objective Optimal Solutions to Physical Deterioration through Active Control. 394-403
  
• P. K. S. Nain, S. Sharma, J. M. Giri:
  Non-dimensional Multi-objective Performance Optimization of Single Stage Thermoelectric Cooler. 404-413
  
• Arup Kumar Nandi, Shubhabrata Datta:
  Multi-Objective Optimization of Particle Reinforced Silicone Rubber Mould Material for Soft Tooling Process. 414-423
  
• S. B. D. V. P. S. Anauth, Robert T. F. Ah King:
  Comparative Application of Multi-Objective Evolutionary Algorithms to the Voltage and Reactive Power Optimization Problem in Power Systems. 424-434
  
• Rupesh Kumar Srivastava, Kalyanmoy Deb:
  Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms. 435-444
  
• Aditya Arikere, Gurunathan Saravana Kumar, Sandipan Bandyopadhyay:
  Optimisation of Double Wishbone Suspension System Using Multi-Objective Genetic Algorithm. 445-454
  
• Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka:
  Self-Controlling Dominance Area of Solutions in Evolutionary Many-Objective Optimization. 455-465
  
• Kiyoharu Tagawa, Yukinori Sasaki, Hiroyuki Nakamura:
  Optimum Design of Balanced SAW Filters Using Multi-Objective Differential Evolution. 466-475
  
• Yogesh K. Anand, Sanjay Srivastava, Kamal Srivastava:
  Optimizing the Risk of Occupational Health Hazard in a Multiobjective Decision Environment using NSGA-II. 476-484
  
• Dilip Datta, Akan Kumar Das:
  Tuning Process Parameters of Electrochemical Machining Using a Multi-objective Genetic Algorithm: A Preliminary Study. 485-493
  
• Gideon Avigad, Erella Eisenstadt, Miri Weiss-Cohen:
  The Optimization versus Survival Problem and Its Solution by an Evolutionary Multi Objective Algorithm. 494-503
  
• Siddharth Pal, Aniruddha Basak, Swagatam Das, Ponnuthurai N. Suganthan:
  Synthesis of Difference Patterns for Monopulse Antenna Arrays - An Evolutionary Multi-objective Optimization Approach. 504-513
  
• K. V. R. B. Prasad, Pravin M. Singru:
  Performance of Lognormal Probability Distribution in Crossover Operator of NSGA-II Algorithm. 514-522
  
• Enrico Rigoni, Alessandro Turco:
  Metamodels for Fast Multi-objective Optimization: Trading Off Global Exploration and Local Exploitation. 523-532
  
• Shu-Hsien Liao, Chia-Lin Hsieh:
  Integrated Location-Inventory Retail Supply Chain Design: A Multi-objective Evolutionary Approach. 533-542
  
• Xinrui Duan, Jing Liu, Li Zhang, Licheng Jiao:
  Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm. 543-552
  
• Xinrui Duan, Jing Liu, Ruochen Liu, Licheng Jiao:
  A Preference Oriented Two-Layered Multiagent Evolutionary Algorithm for Multi-Objective Job Shop Problems. 553-557
  
• João Batista Mendes, João Antônio de Vasconcelos:
  Using an Adaptation of a Binary Search Tree to Improve the NSGA-II Nondominated Sorting Procedure. 558-562
  
• G. N. Sashi Kumar, A. K. Mahendra, A. Sanyal, G. Gouthaman:
  A Hybrid Method for Multi-Objective Shape Optimization. 563-567
  
• Indranil Banerjee, Prasun Das:
  Evolutionary Multi-Objective Bacterial Swarm Optimization (MOBSO): A Hybrid Approach. 568-572
  
• Ashutosh Tiwari, Christopher Turner, Peter D. Ball, Kostas Vergidis:
  Multi-Objective Optimisation of Web Business Processes. 573-577
  
• Vipin K. Tripathi, Hiten M. Chauhan:
  Multi Objective Optimization of Planetary Gear Train. 578-582
  
• Piotr Wozniak:
  Multi-objective Control Systems Design with Criteria Reduction. 583-587
  
• Vui Ann Shim, Kay Chen Tan, Jun Yong Chia:
  Probabilistic Based Evolutionary Optimizers in Bi-objective Travelling Salesman Problem. 588-592
  

Hybrid Algorithms

• Siddharth Pal, Aniruddha Basak, Swagatam Das:
  Automatic Shape Independent Shell Clustering Using an Ant Based Approach. 593-602
  
• Cem Celal Tutum, Kalyanmoy Deb, Jesper Henri Hattel:
  Hybrid Search for Faster Production and Safer Process Conditions in Friction Stir Welding. 603-612
  
• Vidyut Dey, Dilip Kumar Pratihar, Gauranga Lal Datta:
  Hybrid Optimization Scheme for Radial Basis Function Neural Network. 613-622
  
• Muthu Naveen, Shankar Jayaraman, Vinay Ramanath, Shamik Chaudhuri:
  Modified Levenberg Marquardt Algorithm for Inverse Problems. 623-632
  
• Rituparna Datta:
  Constrained Engineering Design Optimization Using a Hybrid Bi-objective Evolutionary-Classical Methodology. 633-637
  

Industrial Applications

• Robert J. Lygoe, Mark Cary, Peter J. Fleming:
  A Many-Objective Optimisation Decision-Making Process Applied to Automotive Diesel Engine Calibration. 638-646
  
• Vineet R. Khare, Halasya Siva Subramania:
  A Modular Decision-Tree Architecture for Better Problem Understanding. 647-656
  
• Rahul Caprihan, Jannes Slomp, Gursaran Srivastava, Khushboo Agarwal:
  Virtual Manufacturing Cell Design Using a PSO Approach with Alternative Neighbourhood Topologies. 657-666
  
• Wa Si, Harutoshi Ogai, Tansheng Li, Masatoshi Ogawa, Katsumi Hirai, Hidehiro Takahashi:
  Energy Saving System for Office Lighting by Using PSO and ZigBee Network. 667-676
  
• Vikas K. Garg, Nukala Viswanadham:
  EcoSupply: A Machine Learning Framework for Analyzing the Impact of Ecosystem on Global Supply Chain Dynamics. 677-686
  
• Henrik Saxén, Frank Pettersson:
  A Data-Mining Method for Detection of Complex Nonlinear Relations Applied to a Model of Apoptosis in Cell Populations. 687-695
  
• Dhanesh Padmanabhan, Rajkumar Vaidyanathan:
  An Implementation of Pareto Set Pursuing Technique for Concept Vehicle Design. 696-705
  
• Vikas K. Garg, M. Narasimha Murty:
  EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification. 706-710
  
• Vikas K. Garg:
  Toward Optimal Disk Layout of Genome Scale Suffix Trees. 711-715
  

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