书目名称 | Sequential Approximate Multiobjective Optimization Using Computational Intelligence |
编辑 | Min Yoon,Yeboon Yun,Hirotaka Nakayama |
视频video | |
概述 | No book on the subject so far.Since no explicit functions form of objectives is available in many practical ( in particular, engineering design) problems, optimization using metamodels is very importa |
丛书名称 | Vector Optimization |
图书封面 |  |
描述 | 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 |
出版日期 | Book 2009 |
关键词 | Evolutionary Multi-Objective Optimization; Machine Learning; Meta-Modelling; Optimal Design of Experime |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-540-88910-6 |
isbn_softcover | 978-3-642-10030-7 |
isbn_ebook | 978-3-540-88910-6Series ISSN 1867-8971 Series E-ISSN 1867-898X |
issn_series | 1867-8971 |
copyright | Springer-Verlag Berlin Heidelberg 2009 |