Multiobjective Evolutionary Algorithms and Applications

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.

Table des matières

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.

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.

Détails du produit

• Auteurs: Eik Fu Khor, Eik Fun Khor, Tong Heng Lee, Kay Che Tan, Kay Chen Tan
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 26.10.2010
• EAN: 9781849969352
• ISBN: 978-1-84996-935-2
• Pages: 296
• Dimensions: 156 mm x 17 mm x 234 mm
• Poids: 470 g
• Illustrations: X, 296 p.
• Thèmes: Advanced Information and Knowledge Processing; Advanced Information and Knowledge Processing
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Informatique; Sciences sociales, droit, économie > Sciences politiques > Théories de l'Etat et administration politique; C, Algorithms, computer science, Information Retrieval, Public Administration, Information Systems Applications (incl. Internet), Information Systems Applications (incl.Internet), Theory of Computation, Computer and Information Systems Applications, Application software, Computers, Algorithms & data structures, Mathematical theory of computation, Information technology: general issues, Internet searching, Algorithm Analysis and Problem Complexity, Computer Appl. in Administrative Data Processing