Multiobjective Evolutionary Algorithms and Applications
Author:   Kay Chen Tan ,  Eik Fun Khor ,  Tong Heng Lee
Publisher:   Springer London Ltd
Edition:   2005 ed.
ISBN:  

9781852338367


Pages:   296
Publication Date:   31 May 2005
Format:   Hardback
Availability:   In Print   Availability explained
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Multiobjective Evolutionary Algorithms and Applications


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Overview

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.

Full Product Details

Author:   Kay Chen Tan ,  Eik Fun Khor ,  Tong Heng Lee
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2005 ed.
Weight:   1.360kg
ISBN:  

9781852338367


ISBN 10:   1852338369
Pages:   296
Publication Date:   31 May 2005
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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.

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