Evolutionary Multi-Criterion Optimization

1. Front Matter

   Pages I-XVII

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2. Many-Objectives Optimization, Performance and Robustness

   1. Front Matter

      Pages 1-1

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   2. Evolutionary Many-Objective Optimization Based on Kuhn-Munkres’ Algorithm

      • José A. Molinet Berenguer, Carlos A. Coello Coello

      Pages 3-17

   3. An Optimality Theory Based Proximity Measure for Evolutionary Multi-Objective and Many-Objective Optimization

      • Kalyanmoy Deb, Mohamed Abouhawwash, Joydeep Dutta

      Pages 18-33

   4. U-NSGA-III: A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives: Proof-of-Principle Results

      • Haitham Seada, Kalyanmoy Deb

      Pages 34-49

   5. Clustering Based Parallel Many-Objective Evolutionary Algorithms Using the Shape of the Objective Vectors

      • Christian von Lücken, Carlos Brizuela, Benjamin Barán

      Pages 50-64

   6. Faster Exact Algorithms for Computing Expected Hypervolume Improvement

      • Iris Hupkens, André Deutz, Kaifeng Yang, Michael Emmerich

      Pages 65-79

   7. A GPU-Based Algorithm for a Faster Hypervolume Contribution Computation

      • Edgar Manoatl Lopez, Luis Miguel Antonio, Carlos A. Coello Coello

      Pages 80-94

   8. A Feature-Based Performance Analysis in Evolutionary Multiobjective Optimization

      • Arnaud Liefooghe, Sébastien Verel, Fabio Daolio, Hernán Aguirre, Kiyoshi Tanaka

      Pages 95-109

   9. Modified Distance Calculation in Generational Distance and Inverted Generational Distance

      • Hisao Ishibuchi, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima

      Pages 110-125

   10. On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs

       • Víctor Adrián Sosa Hernández, Oliver Schütze, Heike Trautmann, Günter Rudolph

       Pages 126-140

   11. An Evolutionary Approach to Active Robust Multiobjective Optimisation

       • Shaul Salomon, Robin C. Purshouse, Gideon Avigad, Peter J. Fleming

       Pages 141-155

   12. Linear Scalarization for Pareto Front Identification in Stochastic Environments

       • Madalina M. Drugan

       Pages 156-171

   13. Elite Accumulative Sampling Strategies for Noisy Multi-objective Optimisation

       • Jonathan E. Fieldsend

       Pages 172-186

   14. Guideline Identification for Optimization Under Uncertainty Through the Optimization of a Boomerang Trajectory

       • Mariapia Marchi, Enrico Rigoni, Rosario Russo, Alberto Clarich

       Pages 187-201

3. MCDM

   1. Front Matter

      Pages 203-203

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   2. Using Indifference Information in Robust Ordinal Regression

      • Juergen Branke, Salvatore Corrente, Salvatore Greco, Walter J. Gutjahr

      Pages 205-217

   3. A Multi-objective Genetic Algorithm for Inferring Inter-criteria Parameters for Water Supply Consensus

      • Pavel A. Álvarez, Danielle C. Morais, Juan C. Leyva, Adiel T. Almeida

      Pages 218-233

   4. Genetic Algorithm Approach for a Class of Multi-Criteria, Multi-Vehicle Planner of UAVs

      • Emory Freitas, Jose Reginaldo Hughes Carvalho

      Pages 234-248

   5. An Interactive Evolutionary Multiobjective Optimization Method: Interactive WASF-GA

      • Ana B. Ruiz, Mariano Luque, Kaisa Miettinen, Rubén Saborido

      Pages 249-263

This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimarães, Portugal in March/April 2015. The 68 revised full papers presented together with 4 plenary talks were carefully reviewed and selected from 90 submissions. The EMO 2015 aims to continue these type of developments, being the papers presented focused in: theoretical aspects, algorithms development, many-objectives optimization, robustness and optimization under uncertainty, performance indicators, multiple criteria decision making and real-world applications.

• Automatic Configuration
• Combinatorial Optimization
• Differential Evolution
• Diversity Maintenance
• Evolutionary Algorithms
• Genetic Algorithms
• Genetic Programming
• Hybrid Algorithm
• Hyper-heuristics
• Local Search
• Many-objective
• Metaheuristics
• Multi-objective Optimization
• Multimodal Optimization
• Multiple Criteria Decision Making
• Performance Evaluation
• Stochastic Programming
• Uncertainty
• algorithm analysis and problem complexity

• Institute for Polymers and Composites/I3N University of Minho Guimarães Portugal, Guimaraes, Portugal

  António Gaspar-Cunha

• Dept. of Electrical and Computer Engg, University of Coimbra, Coimbra, Portugal

  Carlos Henggeler Antunes

• CINVESTAV-IPN Depto. de Computacíon, Col. San Pedro Zacatenco, México DF, Mexico

  Carlos Coello Coello

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