Library Services | Technical University of Kenya

Your cart is empty.
Normal view MARC view ISBD view

Multi-Objective Swarm Intelligent Systems [electronic resource] : Theory & Experiences / edited by Nadia Nedjah, Leandro Santos Coelho, Luiza Macedo Mourelle.

By: Nedjah, Nadia [editor.].
Contributor(s): Santos Coelho, Leandro [editor.] | Macedo Mourelle, Luiza [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 261Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642051654.Subject(s): Engineering | Artificial intelligence | Engineering mathematics | Engineering | Appl.Mathematics/Computational Methods of Engineering | Artificial Intelligence (incl. Robotics)DDC classification: 519 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

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.

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.

There are no comments for this item.

Log in to your account to post a comment.

2017 | The Technical University of Kenya Library | +254(020) 2219929, 3341639, 3343672 | library@tukenya.ac.ke | Haile Selassie Avenue