Multiobjective Evolutionary Algorithms and Applications
Autor Kay Chen Tan, Eik Fun Khor, Tong Heng Leeen Limba Engleză Hardback – 31 mai 2005
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
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 professionalCuprins
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)