Kay Chen Tan, Eik Fun Khor, Tong Heng Lee

Multiobjective Evolutionary Algorithms and Applications

• Gebundenes Buch

Produktbeschreibung

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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Produktdetails

• Advanced Information and Knowledge Processing
• Verlag: Springer / Springer London / Springer, Berlin
• Artikelnr. des Verlages: 10979952, 978-1-85233-836-7
• 2005 edition
• Seitenzahl: 296
• Erscheinungstermin: 31. Mai 2005
• Englisch
• Abmessung: 243mm x 162mm x 19mm
• Gewicht: 572g
• ISBN-13: 9781852338367
• ISBN-10: 1852338369
• Artikelnr.: 13127954

Autorenporträt

Kay Chen Tan, National University of Singapore, Singapore / Eik Fun Khor, National University of Singapore, Singapore / Tong Heng Lee, National University of Singapore, Singapore

Inhaltsangabe

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.