3. EMO 2005: Guanajuato, Mexico

Invited Talks

• Milan Zeleny:
  The Evolution of Optimality: De Novo Programming. 1-13
  
• Peter J. Fleming, Robin C. Purshouse, Robert J. Lygoe:
  Many-Objective Optimization: An Engineering Design Perspective. 14-32
  

Tutorials

• Xavier Gandibleux, Matthias Ehrgott:
  1984-2004 - 20 Years of Multiobjective Metaheuristics. But What About the Solution of Combinatorial Problems with Multiple Objectives?. 33-46
  

Algorithm Improvements

• Kalyanmoy Deb, Santosh Tiwari:
  Omni-optimizer: A Procedure for Single and Multi-objective Optimization. 47-61
  
• Michael Emmerich, Nicola Beume, Boris Naujoks:
  An EMO Algorithm Using the Hypervolume Measure as Selection Criterion. 62-76
  
• Adam Berry, Peter Vamplew:
  The Combative Accretion Model - Multiobjective Optimisation Without Explicit Pareto Ranking. 77-91
  
• Felix Streichert, Holger Ulmer, Andreas Zell:
  Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms. 92-107
  
• Sanyou Y. Zeng, Shuzhen Yao, Lishan Kang, Yong Liu:
  An Efficient Multi-objective Evolutionary Algorithm: OMOEA-II. 108-119
  
• Matthieu Basseur, Franck Seynhaeve, El-Ghazali Talbi:
  Path Relinking in Pareto Multi-objective Genetic Algorithms. 120-134
  
• Yang Shu Min, Shao Dong Guo, Luo Yang Jie:
  Dynamic Archive Evolution Strategy for Multiobjective Optimization. 135-149
  
• Kalyanmoy Deb, Himanshu Gupta:
  Searching for Robust Pareto-Optimal Solutions in Multi-objective Optimization. 150-164
  
• Eduardo José Solteiro Pires, Paulo B. de Moura Oliveira, José António Tenreiro Machado:
  Multi-objective MaxiMin Sorting Scheme. 165-175
  
• Joshua D. Knowles, Evan J. Hughes:
  Multiobjective Optimization on a Budget of 250 Evaluations. 176-190
  
• Christian Haubelt, Jürgen Gamenik, Jürgen Teich:
  Initial Population Construction for Convergence Improvement of MOEAs. 191-205
  
• Carlos A. Brizuela, Everardo Gutiérrez:
  Multi-objective Go with the Winners Algorithm: A Preliminary Study. 206-220
  

Incorporation of Preferences

• Daniel Salazar, Néstor Carrasquero, Blas Galván:
  Exploiting Comparative Studies Using Criteria: Generating Knowledge from an Analyst's Perspective. 221-234
  
• Juan Carlos Leyva López, Miguel Angel Aguilera-Contreras:
  A Multiobjective Evolutionary Algorithm for Deriving Final Ranking from a Fuzzy Outranking Relation. 235-249
  

Performance Analysis and Comparison

• Carlos M. Fonseca, Viviane Grunert da Fonseca, Luis Paquete:
  Exploring the Performance of Stochastic Multiobjective Optimisers with the Second-Order Attainment Function. 250-264
  
• Hisao Ishibuchi, Kaname Narukawa:
  Recombination of Similar Parents in EMO Algorithms. 265-279
  
• Simon Huband, Luigi Barone, R. Lyndon While, Philip Hingston:
  A Scalable Multi-objective Test Problem Toolkit. 280-295
  
• Richard O. Day, Gary B. Lamont:
  Extended Multi-objective fast messy Genetic Algorithm Solving Deception Problems. 296-310
  
• Pradyumn Kumar Shukla, Kalyanmoy Deb, Santosh Tiwari:
  Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method. 311-325
  
• R. Lyndon While:
  A New Analysis of the LebMeasure Algorithm for Calculating Hypervolume. 326-340
  
• Yusuke Nojima, Kaname Narukawa, Shiori Kaige, Hisao Ishibuchi:
  Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm. 341-354
  
• Hernán E. Aguirre, Kiyoshi Tanaka:
  Selection, Drift, Recombination, and Mutation in Multiobjective Evolutionary Algorithms on Scalable MNK-Landscapes. 355-369
  
• Hisao Ishibuchi, Shiori Kaige, Kaname Narukawa:
  Comparison Between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems. 370-385
  
• Joshua B. Kollat, Patrick M. Reed:
  The Value of Online Adaptive Search: A Performance Comparison of NSGAII, epsilon-NSGAII and epsilonMOEA. 386-398
  

Uncertainty and Noise

• Mario Köppen, Raul Vicente-Garcia, Bertram Nickolay:
  Fuzzy-Pareto-Dominance and its Application in Evolutionary Multi-objective Optimization. 399-412
  
• Philipp Limbourg:
  Multi-objective Optimization of Problems with Epistemic Uncertainty. 413-427
  

Alternative Methods

• Peter A. N. Bosman, Dirk Thierens:
  The Naive MIDEA: A Baseline Multi-objective EA. 428-442
  
• Antonio J. Nebro, Francisco Luna, Enrique Alba:
  New Ideas in Applying Scatter Search to Multiobjective Optimization. 443-458
  
• Julio E. Alvarez-Benitez, Richard M. Everson, Jonathan E. Fieldsend:
  A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts. 459-473
  
• Licheng Jiao, Maoguo Gong, Ronghua Shang, Haifeng Du, Bin Lu:
  Clonal Selection with Immune Dominance and Anergy Based Multiobjective Optimization. 474-489
  
• Daniel Jaeggi, Geoffrey T. Parks, Timoleon Kipouros, P. John Clarkson:
  A Multi-objective Tabu Search Algorithm for Constrained Optimisation Problems. 490-504
  
• Margarita Reyes Sierra, Carlos A. Coello Coello:
  Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and epsilon-Dominance. 505-519
  
• Tea Robic, Bogdan Filipic:
  DEMO: Differential Evolution for Multiobjective Optimization. 520-533
  

Applications

• Christian Igel:
  Multi-objective Model Selection for Support Vector Machines. 534-546
  
• Julia Handl, Joshua D. Knowles:
  Exploiting the Trade-off - The Benefits of Multiple Objectives in Data Clustering. 547-560
  
• Min Joong Jeong, Takashi Kobayashi, Shinobu Yoshimura:
  Extraction of Design Characteristics of Multiobjective Optimization - Its Application to Design of Artificial Satellite Heat Pipe. 561-575
  
• David Greiner, Gabriel Winter, José M. Emperador, Blas Galván:
  Gray Coding in Evolutionary Multicriteria Optimization: Application in Frame Structural Optimum Design. 576-591
  
• Luiz E. Soares de Oliveira, Marisa E. Morita, Robert Sabourin, Flávio Bortolozzi:
  Multi-objective Genetic Algorithms to Create Ensemble of Classifiers. 592-606
  
• Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell:
  Multi-objective Model Optimization for Inferring Gene Regulatory Networks. 607-620
  
• Kazuhisa Chiba, Shigeru Obayashi, Kazuhiro Nakahashi, Hiroyuki Morino:
  High-Fidelity Multidisciplinary Design Optimization of Wing Shape for Regional Jet Aircraft. 621-635
  
• Steven Manos, Leon Poladian, Peter J. Bentley, Maryanne Large:
  Photonic Device Design Using Multiobjective Evolutionary Algorithms. 636-650
  
• Jerzy Duda, Andrzej Osyczka:
  Multiple Criteria Lot-Sizing in a Foundry Using Evolutionary Algorithms. 651-663
  
• Sergio Ivvan Valdez Peña, Salvador Botello Rionda, Arturo Hernández Aguirre:
  Multiobjective Shape Optimization Using Estimation Distribution Algorithms and Correlated Information. 664-676
  
• Robert T. F. Ah King, Harry C. S. Rughooputh, Kalyanmoy Deb:
  Evolutionary Multi-objective Environmental/Economic Dispatch: Stochastic Versus Deterministic Approaches. 677-691
  
• Frank Schlottmann, Andreas Mitschele, Detlef Seese:
  A Multi-objective Approach to Integrated Risk Management. 692-706
  
• Francisco Rivas-Dávalos, Malcolm R. Irving:
  An Approach Based on the Strength Pareto Evolutionary Algorithm 2 for Power Distribution System Planning. 707-720
  
• Hitoshi Iima:
  Proposition of Selection Operation in a Genetic Algorithm for a Job Shop Rescheduling Problem. 721-735
  
• Matteo Nicolini:
  A Two-Level Evolutionary Approach to Multi-criterion Optimization of Water Supply Systems. 736-751
  
• Yaochu Jin, Bernhard Sendhoff, Edgar Körner:
  Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations. 752-766
  
• Paulo Vinicius Wolski Radtke, Tony Wong, Robert Sabourin:
  A Multi-objective Memetic Algorithm for Intelligent Feature Extraction. 767-781
  
• Mark P. Kleeman, Gary B. Lamont:
  Solving the Aircraft Engine Maintenance Scheduling Problem Using a Multi-objective Evolutionary Algorithm. 782-796
  
• Weiqi Li:
  Finding Pareto-Optimal Set by Merging Attractors for a Bi-objective Traveling Salesmen Problem. 797-810
  
• Rajeev Kumar, Pramod Kumar Singh, P. P. Chakrabarti:
  Multiobjective EA Approach for Improved Quality of Solutions for Spanning Tree Problem. 811-825
  
• Beatriz de la Iglesia, Alan P. Reynolds, Victor J. Rayward-Smith:
  Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules. 826-840
  
• Laetitia Jourdan, David Corne, Dragan A. Savic, Godfrey A. Walters:
  Preliminary Investigation of the 'Learnable Evolution Model' for Faster/Better Multiobjective Water Systems Design. 841-855
  
• Angel Eduardo Muñoz Zavala, Enrique Raúl Villa Diharce, Arturo Hernández Aguirre:
  Particle Evolutionary Swarm for Design Reliability Optimization. 856-869
  
• Carlos E. Mariano-Romero, Víctor Alcocer-Yamanaka, Eduardo F. Morales:
  Multiobjective Water Pinch Analysis of the Cuernavaca City Water Distribution Network. 870-884
  
• Timoleon Kipouros, Daniel Jaeggi, Bill Dawes, Geoffrey T. Parks, Mark Savill:
  Multi-objective Optimisation of Turbomachinery Blades Using Tabu Search. 897-910
  

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