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Multiobjective Evolutionary Algorithms and Applications de Kay Chen Tan

Multiobjective Evolutionary Algorithms and Applications

Autor Kay Chen Tan, Eik Fun Khor, Tong Heng Lee
en Limba Engleză Hardback – 31 mai 2005
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.
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Specificații

ISBN-13: 9781852338367
ISBN-10: 1852338369
Pagini: 296
Ilustrații: X, 296 p.
Dimensiuni: 162 x 243 x 19 mm
Greutate: 0.57 kg
Ediția:2005 edition
Editura: SPRINGER LONDON
Locul publicării:London, United Kingdom

Public țintă

Academic/professional/technical: Research and professional

Cuprins

Review of MOEAs.- Conceptual Framework and Distribution Preservation Mechanisms for MOEAs.- Decision Supports and Advanced Features for MOEAs.- Dynamic Population Size and Local Exploration for MOEAs.- A Distributed Cooperative Coevolutionary Multiobjective Algorithm.- Learning the Search Range in Dynamic Environments.- Performance Assessment and Comparison of MOEAs.- A Multiobjective Evolutionary Algorithm Toolbox.- Evolutionary Computer-Aided Control System Design.- Evolutionary Design Automation of Multivariable QFT Control System.- Evolutionary Design of HDD Servo Control System.- Evolutionary Scheduling — VRPTW.- Evolutionary Scheduling — TTVRP.

Caracteristici

Evolutionary Multi Objective is an important area which is presently gaining considerable attention. There is a lack of books in the area. The book will be recommended for the authors’ two computational intelligence courses (often with a total of over 150 students)