Multiobjective optimization : principles and case studies
著者
書誌事項
Multiobjective optimization : principles and case studies
（Decision engineering）
Springer, c2003
1st ed., Corrected 2nd printing
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注記
Includes bibliographical references (p. [271]-289) and index
内容説明・目次
内容説明
This text offers many multiobjective optimization methods accompanied by analytical examples, and it treats problems not only in engineering but also operations research and management. It explains how to choose the best method to solve a problem and uses three primary application examples: optimization of the numerical simulation of an industrial process; sizing of a telecommunication network; and decision-aid tools for the sorting of bids.
目次
I Principles of multiobjective optimization methods.- 1 Introduction: multiobjective optimization and domination.- 2 Scalar methods.- 3 Interactive methods.- 4 Fuzzy methods.- 5 Multiobjective methods using metaheuristics.- 6 Decision aid methods.- II Evaluation of methods, and criteria for choice of method.- 7 Performance measurement.- 8 Test functions for multiobjective optimization methods.- 9 An attempt to classify multiobjective optimization methods.- III Case studies.- 10 Case study 1: qualification of scientific software.- 11 Case study 2: study of the extension of a telecommunication network.- 12 Case study 3: multicriteria decision tools to deal with bids.- 13 Conclusion.- References.
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