Sequential Approximate Multiobjective Optimization Using Computational Intelligence

Author:   Hirotaka Nakayama ,  Yeboon Yun ,  Min Yoon
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of hardcover 1st ed. 2009
ISBN:  

9783642100307


Pages:   200
Publication Date:   01 April 2011
Format:   Paperback
Availability:   Out of print, replaced by POD   Availability explained
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Sequential Approximate Multiobjective Optimization Using Computational Intelligence


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Overview

Many kinds of practical problems such as engineering design, industrial m- agement and ?nancial investment have multiple objectives con?icting with eachother. Thoseproblemscanbeformulatedasmultiobjectiveoptimization. In multiobjective optimization, there does not necessarily a unique solution which minimizes (or maximizes) all objective functions. We usually face to the situation in which if we want to improve some of objectives, we have to give up other objectives. Finally, we pay much attention on how much to improve some of objectives and instead how much to give up others. This is called “trade-o?. ” Note that making trade-o? is a problem of value ju- ment of decision makers. One of main themes of multiobjective optimization is how to incorporate value judgment of decision makers into decision s- port systems. There are two major issues in value judgment (1) multiplicity of value judgment and (2) dynamics of value judgment. The multiplicity of value judgment is treated as trade-o? analysis in multiobjective optimi- tion. On the other hand, dynamics of value judgment is di?cult to treat. However, it is natural that decision makers change their value judgment even in decision making process, because they obtain new information during the process. Therefore, decision support systems are to be robust against the change of value judgment of decision makers. To this aim, interactive p- grammingmethodswhichsearchasolutionwhileelicitingpartialinformation on value judgment of decision makers have been developed. Those methods are required to perform ?exibly for decision makers’ attitude.

Full Product Details

Author:   Hirotaka Nakayama ,  Yeboon Yun ,  Min Yoon
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of hardcover 1st ed. 2009
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.338kg
ISBN:  

9783642100307


ISBN 10:   3642100309
Pages:   200
Publication Date:   01 April 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

Table of Contents

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.

Reviews

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)


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)


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)


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)


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