Multiobjective Evolutionary Algorithms and Applications - Brossura

Tan, Kay Chen Chen; Khor, Eik Fun; Lee, Tong Heng

Brossura

ISBN 10: 1849969353 ISBN 13: 9781849969352

Casa editrice: Springer, 2010

Riassunto

Evolutionary multiobjective optimization is currently gaining a lot of attention, particularly for researchers in the evolutionary computation communities. This monograph is suitable as a secondary text for graduate level computational intelligence courses, and as a reference for researchers, lecturers, and practitioners in industry.

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Contenuti

Preface Introduction Review of MOEAs Conceptual Framework and Distribution Preservation Mechanisms for MOEAs Dynamic Population Size and Local Exploration for MOEAs A Distributed Cooperative Co-evolutionary 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 for Multivariable QFT Control System Evolutionary Design of a HDD Control System Evolutionary Scheduling - VRPTW Evolutionary Scheduling - TTVRP Bibliography Index

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 1849969353
• ISBN 13: 9781849969352
• Rilegatura: Copertina flessibile
• Numero di pagine: 308
• Contatto del produttore: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Germania