Multi-Objective Swarm Intelligent Systems Theory & Experiences /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Nedjah, Nadia (Επιμελητής έκδοσης), Santos Coelho, Leandro dos (Επιμελητής έκδοσης), Macedo Mourelle, Luiza de (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Studies in Computational Intelligence, 261
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.