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EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII

  • Book
  • © 2017

Overview

Editors:
  1. Michael Emmerich

    1. Leiden Institute of Advanced Com. Sci., Leiden University Leiden Institute of Advanced Com. Sci., CA Leiden, The Netherlands

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  2. André Deutz

    1. Leiden Institute of Advanced Com. Sci., Leiden University Leiden Institute of Advanced Com. Sci., CA Leiden, The Netherlands

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  3. Oliver Schütze

    1. Depto. de Ingeniería Eléctrica, CINVESTAV-IPN Depto. de Ingeniería Eléctrica, México, D.F., Mexico

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  4. Pierrick Legrand

    1. University of Bordeaux, Université Bordeaux Victoire , Bordeaux Cedex, France

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  5. Emilia Tantar

    1. Luxembourg Centre for Systems Biomedicin, University of Luxembourg Luxembourg Centre for Systems Biomedicin, Belval, Luxembourg

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  6. Alexandru-Adrian Tantar

    1. Computer Science & Comm. Research Unit, University of Luxembourg Computer Science & Comm. Research Unit, Luxembourg, Luxembourg

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  • Comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems
  • Presents selected results of the EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation meeting held in Leiden, Netherlands in July 2013
  • Offers the latest research on probability, set-oriented numerics and evolutionary computation
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 662)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-viii
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  2. Set Oriented Optimization Methods

    1. Front Matter

      Pages 1-1
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    2. A Survey of Diversity Oriented Optimization: Problems, Indicators, and Algorithms

      • Vitor Basto-Fernandes, Iryna Yevseyeva, André Deutz, Michael Emmerich
      Pages 3-23

    3. Global Multi-objective Optimization by Means of Cell Mapping Techniques

      • Carlos Hernández, Oliver Schütze, Jian-Qiao Sun
      Pages 25-56

    4. Percentile via Polynomial Chaos Expansion: Bridging Robust Optimization with Reliability

      • Mariapia Marchi, Enrico Rigoni, Rosario Russo, Alberto Clarich
      Pages 57-80

  3. Evolutionary Methods in Computational Game Theory

    1. Front Matter

      Pages 81-81
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    2. Evolutionary Equilibrium Detection in Multicriteria Games

      • Réka Nagy, D. Dumitrescu
      Pages 83-97

    3. A New Estimation of Distribution Algorithm for Nash Equilibria Detection

      • Tudor Dan Mihoc
      Pages 99-107

  4. Algorithm Design for Real World Challenges

    1. Front Matter

      Pages 109-109
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    2. Multi-objective Optimisation by Self-adaptive Evolutionary Algorithm

      • John M. Oliver, Timoleon Kipouros, A. Mark Savill
      Pages 111-134

    3. Evidence-Based Multi-disciplinary Robust Optimization for Mars Microentry Probe Design

      • Liqiang Hou, Yuanli Cai, Jisheng Li
      Pages 135-155

    4. A Simulation-Based Algorithm for the Probabilistic Traveling Salesman Problem

      • Weiqi Li
      Pages 157-183

    5. Average Cuboid Volume as a Convergence Indicator and Selection Criterion for Multi-objective Biochemical Optimization

      • Susanne Rosenthal, Markus Borschbach
      Pages 185-210
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Keywords

About this book

This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering that were presented at EVOLVE 2013 held in July 2013 at Leiden University in the Netherlands. The internationally peer-reviewed papers include original work on important topics in both theory and applications, such as the role of diversity in optimization, statistical approaches to combinatorial optimization, computational game theory, and cell mapping techniques for numerical landscape exploration. Applications focus on aspects including robustness, handling multiple objectives, and complex search spaces in engineering design and computational biology.

Editors and Affiliations

  • Leiden Institute of Advanced Com. Sci., Leiden University Leiden Institute of Advanced Com. Sci., CA Leiden, The Netherlands

    Michael Emmerich, André Deutz

  • Depto. de Ingeniería Eléctrica, CINVESTAV-IPN Depto. de Ingeniería Eléctrica, México, D.F., Mexico

    Oliver Schütze

  • University of Bordeaux, Université Bordeaux Victoire , Bordeaux Cedex, France

    Pierrick Legrand

  • Luxembourg Centre for Systems Biomedicin, University of Luxembourg Luxembourg Centre for Systems Biomedicin, Belval, Luxembourg

    Emilia Tantar

  • Computer Science & Comm. Research Unit, University of Luxembourg Computer Science & Comm. Research Unit, Luxembourg, Luxembourg

    Alexandru-Adrian Tantar

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