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Artificial Evolution

10th International Conference, Evolution Artificielle, EA 2011, Angers, France, October 24-26, 2011, Revised Selected Papers

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Jin-Kao Hao

    1. LERIA, Laboratoire d’Etude et de echerche en Informatique d’Angers, Université d’Angers, Angers Cedex 01, France

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  2. Pierrick Legrand

    1. Equipe ALEA, INRIA Bordeaux sud-ouest, Institut de Mathématiques de Bordeaux (IMB), UMR CNRS 5251, Université Bordeaux Segalen, Bordeaux, France

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  3. Pierre Collet

    1. Laboratoire des Sciences de l’Ingénieur, de l’Informatique et de l’Imagerie (ICUBE), Part d’innovation, University of Strasbourg, Illkirch Cedex, France

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  4. Nicolas Monmarché

    1. Ecole Polytechnique de l’Université de Tours, Laboratoire d’Informatique de l’Université de Tours, Tours, France

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  5. Evelyne Lutton

    1. INRIA Saclay - Île-de-France, Orsay Cedex, France

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  6. Marc Schoenauer

    1. INRIA Saclay - Ile de France, Equipe TAO, LRI, Université Paris Sud, Orsay Cedex, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7401)

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

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Conference proceedings info: EA 2011.

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About this book

This book constitutes selected best papers from the 10th International Conference on Artificial Evolution, EA 2011, held in Angers, France, in October 2011. Initially, 33 full papers and 10 post papers were carefully reviewed and selected from 64 submissions. This book presents the 19 best papers selected from these contributions. The papers are organized in topical sections on ant colony optimization; multi-objective optimization; analysis; implementation and robotics; combinatorial optimization; learning and parameter tuning; new nature inspired models; probabilistic algorithms; theory and evolutionary search; and applications.

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Table of contents (19 papers)

  1. Front Matter

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  3. Multi-Objective Optimization

    1. A Surrogate-Based Intelligent Variation Operator for Multiobjective Optimization

      • Alan Díaz-Manríquez, Gregorio Toscano-Pulido, Ricardo Landa-Becerra
      Pages 13-24

    2. The Relationship between the Covered Fraction, Completeness and Hypervolume Indicators

      • Viviane Grunert da Fonseca, Carlos M. Fonseca
      Pages 25-36

  4. Analysis

    1. A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize

      • Marc Schoenauer, Fabien Teytaud, Olivier Teytaud
      Pages 37-48

    2. Local Optima Networks with Escape Edges

      • Sébastien Vérel, Fabio Daolio, Gabriela Ochoa, Marco Tomassini
      Pages 49-60

    3. Visual Analysis of Population Scatterplots

      • Evelyne Lutton, Julie Foucquier, Nathalie Perrot, Jean Louchet, Jean-Daniel Fekete
      Pages 61-72

  5. Implementation and Robotics

    1. An On-Line On-Board Distributed Algorithm for Evolutionary Robotics

      • Robert-Jan Huijsman, Evert Haasdijk, A. E. Eiben
      Pages 73-84

    2. Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm

      • Doğan Aydın, Tianjun Liao, Marco A. Montes de Oca, Thomas Stützle
      Pages 85-96

    3. Two Ports of a Full Evolutionary Algorithm onto GPGPU

      • Ogier Maitre, Nicolas Lachiche, Pierre Collet
      Pages 97-108

  6. Combinatorial Optimization

    1. A Multilevel Tabu Search with Backtracking for Exploring Weak Schur Numbers

      • Denis Robilliard, Cyril Fonlupt, Virginie Marion-Poty, Amine Boumaza
      Pages 109-119

    2. An Improved Memetic Algorithm for the Antibandwidth Problem

      • Eduardo Rodriguez-Tello, Luis Carlos Betancourt
      Pages 121-132

  7. Learning and Parameter Tuning

    1. Adaptive Play in a Pollution Bargaining Game

      • Vincent van der Goes
      Pages 133-144

    2. Learn-and-Optimize: A Parameter Tuning Framework for Evolutionary AI Planning

      • Mátyás Brendel, Marc Schoenauer
      Pages 145-155

  8. New Nature Inspired Models

    1. A Model Based on Biological Invasions for Island Evolutionary Algorithms

      • Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
      Pages 157-168

    2. A Multi-objective Particle Swarm Optimizer Enhanced with a Differential Evolution Scheme

      • Jorge Sebastian Hernández-Domínguez, Gregorio Toscano-Pulido, Carlos A. Coello Coello
      Pages 169-180

  9. Probabilistic Algorithms

    1. Evolution of Multisensory Integration in Large Neural Fields

      • Benjamin Inden, Yaochu Jin, Robert Haschke, Helge Ritter
      Pages 181-192

    2. Reducing the Learning Time of Tetris in Evolution Strategies

      • Amine Boumaza
      Pages 193-204

  10. Theory and Evolutionary Search

    1. Black-Box Complexity: Breaking the O(n logn) Barrier of LeadingOnes

      • Benjamin Doerr, Carola Winzen
      Pages 205-216

  11. Applications

    1. Imperialist Competitive Algorithm for Dynamic Optimization of Economic Dispatch in Power Systems

      • Robin Roche, Lhassane Idoumghar, Benjamin Blunier, Abdellatif Miraoui
      Pages 217-228
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Other volumes

  1. Artificial Evolution

Editors and Affiliations

  • LERIA, Laboratoire d’Etude et de echerche en Informatique d’Angers, Université d’Angers, Angers Cedex 01, France

    Jin-Kao Hao

  • Equipe ALEA, INRIA Bordeaux sud-ouest, Institut de Mathématiques de Bordeaux (IMB), UMR CNRS 5251, Université Bordeaux Segalen, Bordeaux, France

    Pierrick Legrand

  • Laboratoire des Sciences de l’Ingénieur, de l’Informatique et de l’Imagerie (ICUBE), Part d’innovation, University of Strasbourg, Illkirch Cedex, France

    Pierre Collet

  • Ecole Polytechnique de l’Université de Tours, Laboratoire d’Informatique de l’Université de Tours, Tours, France

    Nicolas Monmarché

  • INRIA Saclay - Île-de-France, Orsay Cedex, France

    Evelyne Lutton

  • INRIA Saclay - Ile de France, Equipe TAO, LRI, Université Paris Sud, Orsay Cedex, France

    Marc Schoenauer

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