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Multi-Objective Swarm Intelligent Systems

Theory & Experiences

  • Book
  • © 2010

Overview

Editors:
  1. Nadia Nedjah

    1. Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, MARACANÃ, Brazil

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  2. Leandro Santos Coelho

    1. Universidade Federal do Paraná Departamento de Engenharia Elétrica Pós-Graduação em Engenharia Elétrica Centro Politécnico 81531-980, Curitiba-PR, Brazil and Pontifícia Universidade Católica do Paraná Centro, Brazil

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  3. Luiza Macedo Mourelle

    1. Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, MARACANÃ, Brazil

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  • Recent advances in multi-objective swarm intelligence and cooperative behaviour

Part of the book series: Studies in Computational Intelligence (SCI, volume 261)

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About this book

The editors of this volume, Nadia Nedjah, Leandro dos Santos Coelho and Luiza de Macedo Mourelle, have done a superb job of assembling some of the most innovative and intriguing applications and additions to the methodology and theory of multi-objective swarm intelligence — the immitation of social swarms behaviors for the solution of optimization problems with respect to many criteria.

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Table of contents (8 chapters)

  1. Front Matter

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  2. Multiobjective Gaussian Particle Swarm Approach Applied to Multi-loop PI Controller Tuning of a Quadruple-Tank System

    • Leandro dos Santos Coelho, Helon Vicente Hultmann Ayala, Nadia Nedjah, Luiza de Macedo Mourelle
    Pages 1-16

  3. A Non-ordered Rule Induction Algorithm through Multi-Objective Particle Swarm Optimization: Issues and Applications

    • André B. de Carvalho, Aurora Pozo, Silvia Vergilio
    Pages 17-44

  4. Use of Multiobjective Evolutionary Algorithms in Water Resources Engineering

    • Francisco Venícius Fernandes Barros, Eduardo Sávio Passos Rodrigues Martins, Luiz Sérgio Vasconcelos Nascimento, Dirceu Silveira Reis Jr.
    Pages 45-82

  5. Micro-MOPSO: A Multi-Objective Particle Swarm Optimizer That Uses a Very Small Population Size

    • Juan Carlos Fuentes Cabrera, Carlos A. Coello Coello
    Pages 83-104

  6. Dynamic Multi-objective Optimisation Using PSO

    • Mardé Greeff, Andries P. Engelbrecht
    Pages 105-123

  7. Meta-PSO for Multi-Objective EM Problems

    • Marco Mussetta, Paola Pirinoli, Stefano Selleri, Riccardo E. Zich
    Pages 125-150

  8. Multi-Objective Wavelet-Based Pixel-Level Image Fusion Using Multi-Objective Constriction Particle Swarm Optimization

    • Yifeng Niu, Lincheng Shen, Xiaohua Huo, Guangxia Liang
    Pages 151-178

  9. Multi-objective Damage Identification Using Particle Swarm Optimization Techniques

    • Ricardo Perera, Sheng-En Fang
    Pages 179-207

  10. Back Matter

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Editors and Affiliations

  • Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, MARACANÃ, Brazil

    Nadia Nedjah, Luiza Macedo Mourelle

  • Universidade Federal do Paraná Departamento de Engenharia Elétrica Pós-Graduação em Engenharia Elétrica Centro Politécnico 81531-980, Curitiba-PR, Brazil and Pontifícia Universidade Católica do Paraná Centro, Brazil

    Leandro Santos Coelho

Bibliographic Information

  • Book Title: Multi-Objective Swarm Intelligent Systems

  • Book Subtitle: Theory & Experiences

  • Editors: Nadia Nedjah, Leandro Santos Coelho, Luiza Macedo Mourelle

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-05165-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2010

  • Hardcover ISBN: 978-3-642-05164-7Published: 19 November 2009

  • Softcover ISBN: 978-3-642-26151-0Published: 14 March 2012

  • eBook ISBN: 978-3-642-05165-4Published: 23 November 2009

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XXI, 211

  • Topics: Artificial Intelligence, Mathematical and Computational Engineering

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