Hirotaka Nakayama, Yeboon Yun, Min Yoon

Sequential Approximate Multiobjective Optimization Using Computational Intelligence (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book highlights a new direction of multiobjective optimzation, which has never been treated in previous publications. When the function form of objective functions is not known explicitly as encountered in many practical problems, sequential approximate optimization based on metamodels is an effective tool from a practical viewpoint. Several sophisticated methods for sequential approximate multiobjective optimization using computational intelligence are introduced along with real applications, mainly engineering problems, in this book.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 200
• Erscheinungstermin: 12. Juni 2009
• Englisch
• ISBN-13: 9783540889106
• Artikelnr.: 37372333

Inhaltsangabe

Basic Concepts of Multi-objective Optimization.- Interactive Programming Methods for Multi-objective Optimization.- Generation of Pareto Frontier by Genetic Algorithms.- Multi-objective Optimization and Computational Intelligence.- Sequential Approximate Optimization.- Combining Aspiration Level Approach and SAMO.- Engineering Applications.

Rezensionen

From the reviews: "The basic concepts of multiobjective optimization are included making the book self-contained. The performance of the presented methods is demonstrated by the results of applications to real world problems. ... The book is aimed to researchers, practitioners in industries and students of graduate course and high grade of undergraduate course." (Antanas Zilinskas, Zentralblatt MATH, Vol. 1167, 2009)