Multiobjective Evolutionary Algorithms and Applications - Kay Chen Tan, Eik Fun Khor, Tong Heng Lee

Multiobjective Evolutionary Algorithms and Applications

Buch | Hardcover
296 Seiten
2005
Springer London Ltd (Verlag)
978-1-85233-836-7 (ISBN)
176,54 inkl. MwSt
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.

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.

Erscheint lt. Verlag 31.5.2005
Reihe/Serie Advanced Information and Knowledge Processing
Zusatzinfo X, 296 p.
Verlagsort England
Sprache englisch
Maße 156 x 235 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Office Programme Outlook
Informatik Theorie / Studium Algorithmen
Sozialwissenschaften Politik / Verwaltung Staat / Verwaltung
Schlagworte Evolutionäre Algorithmen
ISBN-10 1-85233-836-9 / 1852338369
ISBN-13 978-1-85233-836-7 / 9781852338367
Zustand Neuware
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