Multiobjective Evolutionary Algorithms and Applications

Kay Chen Tan, Eik Fun Khor, Tong Heng Lee - Collection Advanced Information and Knowledge Processing

300 pages, parution le 27/06/2005

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Résumé

Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment on the design of multiobjective evolutionary algorithms and their applications in domains covering areas such as control and scheduling. Emphasizing both the theoretical developments and the practical implementation of multiobjective evolutionary algorithms, a profound mathematical knowledge is not required.

Written for a wide readership, engineers, researchers, senior undergraduates and graduate students interested in the field of evolutionary algorithms and multiobjective optimization with some basic knowledge of evolutionary computation will find this book a useful addition to their book case.

Written for: First year postgraduates, final year undergraduates, researchers, practitioners, academics in engineering, lecturers

L'auteur - Kay Chen Tan

K. C. Tan received the B.Eng. degree with first class honors in electronics and electrical engineering and the Ph.D. degree from the University of Glasgow, Glasgow, Scotland, in 1994 and 1997, respectively. He was with the Center for Systems & Control and the Evolutionary Computing Group, Glasgow, Scotland, before joining the Department of Electrical and Computer Engineering, National University of Singapore, as an Assistant Professor in 1997. He has authored or coauthored more than 100 journal and conference publications and has served as a program committee or organizing member for many international conferences. He currently holds Associate Editor appointments in IEEE Transactions on Evolutionary Computation and International Journal of Systems Science (Taylor and Francis, London). His current research interests include computational intelligence, evolutionary computing, intelligent control, and engineering designs optimization.

Sommaire

Review of Multiobjective Evolutionary Algorithms
Decision Supports in Multiobjective Optimization
Dynamic Population Size in Multiobjective Optimization
Density Estimator for Uniform Population Distribution
Learning the Search Range in Dynamic Environments
Performance Comparisons of Multiobjective Evolutionary Algorithms
Multiobjective Evolutionary Algorithm Software
Evolutionary Computer-Aided Control System Design
Evolutionary Design Automation for Multivariable QFT Control System
Evolutionary Design of a Hard Disk Drive Servo System
Evolutionary Classifier for Data Mining
Evolutionary Registration of Disparate Spatial Data

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Kay Chen Tan, Eik Fun Khor, Tong Heng Lee
Collection	Advanced Information and Knowledge Processing
Parution	27/06/2005
Nb. de pages	300
Format	16 x 24
Couverture	Relié
Poids	570g
Intérieur	Noir et Blanc
EAN13	9781852338367
ISBN13	978-1-85233-836-7

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