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Sequential Approximate Multiobjective Optimization Using Computational Intelligence (Vector Optimization) by Hirotaka Nakayama, Yeboon Yun, Min Yoon is a nonfiction available to read on EtoBox.

What is Sequential Approximate Multiobjective Optimization Using Computational Intelligence (Vector Optimization) about?

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 mak

Who reads Sequential Approximate Multiobjective Optimization Using Computational Intelligence (Vector Optimization)?

Author

Hirotaka Nakayama, Yeboon Yun, Min Yoon

Publisher

Springer-Verlag Berlin Heidelberg

Published

2009

Language

EN

ISBN

9783642100307

Category

nonfiction

Subjects

Mathematics, Engineering, Science