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Evolutionary Multi-Criterion Optimization

8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. António Gaspar-Cunha

    1. Institute for Polymers and Composites/I3N,University of Minho, Guimaraes, Portugal

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  2. Carlos Henggeler Antunes

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

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  3. Carlos Coello Coello

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

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9018)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: EMO 2015.

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Table of contents (29 papers)

  1. Front Matter

    Pages I-XXIV
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  2. Theory and Hyper-Heuristics

    1. Front Matter

      Pages 1-1
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    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
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    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
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Other volumes

  1. Evolutionary Multi-Criterion Optimization

  2. Evolutionary Multi-Criterion Optimization

Keywords

About this book

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.

Editors and Affiliations

  • 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

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