Description: Sequential Approximate Multiobjective Optimization Using Computational Intelligence Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Hirotaka Nakayama, Yeboon Yun, Min Yoon Format: Hardback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783540889090, 978-3540889090 Synopsis 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.
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Book Title: Sequential Approximate Multiobjective Optimization Using Compu...
Number of Pages: 200 Pages
Language: English
Publication Name: Sequential Approximate Multiobjective Optimization Using Computational Intelligence
Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
Publication Year: 2009
Subject: Engineering & Technology, Computer Science, Mathematics, Management
Item Height: 235 mm
Item Weight: 494 g
Type: Textbook
Author: Yeboon Yun, Hirotaka Nakayama, Min Yoon
Subject Area: Data Analysis
Series: Vector Optimization
Item Width: 155 mm
Format: Hardcover
