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130626 ||| eng |
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|a 9783642051654
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|a Coelho, Leandro dos Santos
|e [editor]
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|a Multi-Objective Swarm Intelligent Systems
|h Elektronische Ressource
|b Theory & Experiences
|c edited by Leandro dos Santos Coelho
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|a 1st ed. 2010
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2010, 2010
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300 |
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|a XXI, 211 p
|b online resource
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|a Multiobjective Gaussian Particle Swarm Approach Applied to Multi-loop PI Controller Tuning of a Quadruple-Tank System -- A Non-ordered Rule Induction Algorithm through Multi-Objective Particle Swarm Optimization: Issues and Applications -- Use of Multiobjective Evolutionary Algorithms in Water Resources Engineering -- Micro-MOPSO: A Multi-Objective Particle Swarm Optimizer That Uses a Very Small Population Size -- Dynamic Multi-objective Optimisation Using PSO -- Meta-PSO for Multi-Objective EM Problems -- Multi-Objective Wavelet-Based Pixel-Level Image Fusion Using Multi-Objective Constriction Particle Swarm Optimization -- Multi-objective Damage Identification Using Particle Swarm Optimization Techniques
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653 |
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|a Engineering mathematics
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653 |
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|a Artificial Intelligence
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653 |
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|a Artificial intelligence
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|a Engineering / Data processing
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|a Mathematical and Computational Engineering Applications
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Studies in Computational Intelligence
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|a 10.1007/978-3-642-05165-4
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|u https://doi.org/10.1007/978-3-642-05165-4?nosfx=y
|x Verlag
|3 Volltext
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|a 006.3
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|a 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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