Multi-Objective Swarm Intelligent Systems
Springer Berlin (Verlag)
978-3-642-05164-7 (ISBN)
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.
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.
| Erscheint lt. Verlag | 19.11.2009 |
|---|---|
| Reihe/Serie | Studies in Computational Intelligence |
| Zusatzinfo | XXI, 211 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 570 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Technik | |
| Schlagworte | Computational Intelligence • Cooperative Behaviour • Evolution • evolutionary algorithm • genetic programming • Multi-Objective Swarm Intelligence • Optimization • Swarm intelligence |
| ISBN-10 | 3-642-05164-2 / 3642051642 |
| ISBN-13 | 978-3-642-05164-7 / 9783642051647 |
| Zustand | Neuware |
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