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Multi-Objective Swarm Intelligent Systems: Theory & Experiences

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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.

Author(s): Leandro dos Santos Coelho (auth.), Nadia Nedjah, Leandro dos Santos Coelho, Luiza de Macedo Mourelle (eds.)
Series: Studies in Computational Intelligence 261
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010

Language: English
Pages: 211
Tags: Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)

Front Matter....Pages -
Multiobjective Gaussian Particle Swarm Approach Applied to Multi-loop PI Controller Tuning of a Quadruple-Tank System....Pages 1-16
A Non-ordered Rule Induction Algorithm through Multi-Objective Particle Swarm Optimization: Issues and Applications....Pages 17-44
Use of Multiobjective Evolutionary Algorithms in Water Resources Engineering....Pages 45-82
Micro-MOPSO: A Multi-Objective Particle Swarm Optimizer That Uses a Very Small Population Size....Pages 83-104
Dynamic Multi-objective Optimisation Using PSO....Pages 105-123
Meta-PSO for Multi-Objective EM Problems....Pages 125-150
Multi-Objective Wavelet-Based Pixel-Level Image Fusion Using Multi-Objective Constriction Particle Swarm Optimization....Pages 151-178
Multi-objective Damage Identification Using Particle Swarm Optimization Techniques....Pages 179-207
Back Matter....Pages -