Evolutionary Multi-Criterion Optimization

1. Front Matter

   Pages I-XXIV

   PDF

2. Theory and Hyper-Heuristics

   1. Front Matter

      Pages 1-1

      PDF

   2. A Multimodal Approach for Evolutionary Multi-objective Optimization (MEMO): Proof-of-Principle Results

      • Cem C. Tutum, Kalyanmoy Deb

      Pages 3-18

   3. Unwanted Feature Interactions Between the Problem and Search Operators in Evolutionary Multi-objective Optimization

      • Chad Byers, Betty H. C. Cheng, Kalyanmoy Deb

      Pages 19-33

   4. Neutral but a Winner! How Neutrality Helps Multiobjective Local Search Algorithms

      • Aymeric Blot, Hernán Aguirre, Clarisse Dhaenens, Laetitia Jourdan, Marie-Eléonore Marmion, Kiyoshi Tanaka

      Pages 34-47

   5. To DE or Not to DE? Multi-objective Differential Evolution Revisited from a Component-Wise Perspective

      • Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle

      Pages 48-63

   6. Model-Based Multi-objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark

      • Daniel Horn, Tobias Wagner, Dirk Biermann, Claus Weihs, Bernd Bischl

      Pages 64-78

   7. Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization

      • Sunith Bandaru, Kalyanmoy Deb

      Pages 79-93

   8. MOEA/D-HH: A Hyper-Heuristic for Multi-objective Problems

      • Richard A. Gonçalves, Josiel N. Kuk, Carolina P. Almeida, Sandra M. Venske

      Pages 94-108

   9. Using Hyper-Heuristic to Select Leader and Archiving Methods for Many-Objective Problems

      • Olacir R. Castro Jr., Aurora Pozo

      Pages 109-123

3. Algorithms

   1. Front Matter

      Pages 125-125

      PDF

   2. Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts

      • Ran Cheng, Yaochu Jin, Kaname Narukawa

      Pages 127-140

   3. MOEA/PC: Multiobjective Evolutionary Algorithm Based on Polar Coordinates

      • Roman Denysiuk, Lino Costa, Isabel Espírito Santo, José C. Matos

      Pages 141-155

   4. GD-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Generational Distance Indicator

      • Adriana Menchaca-Mendez, Carlos A. Coello Coello

      Pages 156-170

   5. Experiments on Local Search for Bi-objective Unconstrained Binary Quadratic Programming

      • Arnaud Liefooghe, Sébastien Verel, Luís Paquete, Jin-Kao Hao

      Pages 171-186

   6. A Bug in the Multiobjective Optimizer IBEA: Salutary Lessons for Code Release and a Performance Re-Assessment

      • Dimo Brockhoff

      Pages 187-201

   7. A Knee-Based EMO Algorithm with an Efficient Method to Update Mobile Reference Points

      • Yu Setoguchi, Kaname Narukawa, Hisao Ishibuchi

      Pages 202-217

   8. A Hybrid Algorithm for Stochastic Multiobjective Programming Problem

      • Zutong Wang, Jiansheng Guo, Mingfa Zheng, Qifang He

      Pages 218-232

   9. Parameter Tuning of MOEAs Using a Bilevel Optimization Approach

      • Martin Andersson, Sunith Bandaru, Amos Ng, Anna Syberfeldt

      Pages 233-247

   10. Pareto Adaptive Scalarising Functions for Decomposition Based Algorithms

       • Rui Wang, Qingfu Zhang, Tao Zhang

       Pages 248-262

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, 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

Policies and ethics