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...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Nedjah, Nadia. (Editor), Santos Coelho, Leandro. (Editor), Macedo Mourelle, Luiza. (Editor)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Series:Studies in Computational Intelligence, 261
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-05165-4
LEADER 02859nam a22004935i 4500
001 10197
003 DE-He213
005 20130725193827.0
007 cr nn 008mamaa
008 100301s2010 gw | s |||| 0|eng d
020 # # |a 9783642051654  |9 978-3-642-05165-4 
024 7 # |a 10.1007/978-3-642-05165-4  |2 doi 
050 # 4 |a TA329-348 
050 # 4 |a TA640-643 
072 # 7 |a TBJ  |2 bicssc 
072 # 7 |a MAT003000  |2 bisacsh 
082 0 4 |a 519  |2 23 
100 1 # |a Nedjah, Nadia.  |e editor. 
245 1 0 |a Multi-Objective Swarm Intelligent Systems  |b Theory & Experiences /  |c edited by Nadia Nedjah, Leandro Santos Coelho, Luiza Macedo Mourelle.  |h [electronic resource] : 
264 # 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2010. 
300 # # |b online resource. 
336 # # |a text  |b txt  |2 rdacontent 
337 # # |a computer  |b c  |2 rdamedia 
338 # # |a online resource  |b cr  |2 rdacarrier 
347 # # |a text file  |b PDF  |2 rda 
490 1 # |a Studies in Computational Intelligence,  |v 261  |x 1860-949X ; 
505 0 # |a Multiobjective Gaussian Particle Swarm Approach Applied to Multi-Loop PI Controller Tuning of a Quadruple-Tank System -- 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 -- Multiobjective Damage Identification Using Particle Swarm Optimization Techniques. 
520 # # |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. 
650 # 0 |a Engineering. 
650 # 0 |a Artificial intelligence. 
650 # 0 |a Engineering mathematics. 
650 1 4 |a Engineering. 
650 2 4 |a Appl.Mathematics/Computational Methods of Engineering. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 # |a Santos Coelho, Leandro.  |e editor. 
700 1 # |a Macedo Mourelle, Luiza.  |e editor. 
710 2 # |a SpringerLink (Online service) 
773 0 # |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642051647 
830 # 0 |a Studies in Computational Intelligence,  |v 261  |x 1860-949X ; 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-05165-4 
912 # # |a ZDB-2-ENG 
950 # # |a Engineering (Springer-11647)