A Study on Structural Optimum Design Based on Qualitative Sensitivities
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概要
- 論文の詳細を見る
An optimum design method is considered as a method whose results are the most reasonable from various standpoints in the prescribed mathematical formulation. However, its formulations present difficulties in choosing objective functions, setting allowances to constraints and so on, because they are greatly concerned with the results of optimization. In this study, we proposed concepts of qualitative sensitivities and qualitative optimality compared to quantitative concepts, as well as a general algorithm of the qualitative optimization method. We newly defined three kinds of fuzzy language, assigned fuzzy sets to each of them and assigned them to each candidate for discrete design variable. We proposed fuzzy reasoning rules by using these two kinds of fuzzy sets. We also extended the proposed algorithm to multiobjective optimization. Through the numerical example of a single-objective problem, we obtained almost the same solution as in quantitative methods, and efficiencies were confirmed for this case. Also through the example of a multiobjective problem, the new method was shown to have more flexibility in determining the preferred objective functions compared to the conventional method.
- 一般社団法人日本機械学会の論文
- 1995-03-15
著者
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YAMAKAWA Hiroshi
Department of Electrical and Computer Engineering, Kanazawa University
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Arakawa M
Tokyo Inst. Technol. Tokyo Jpn
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Yamakawa H
Waseda Univ. Tokyo Jpn
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Arakawa Masao
Department of Mechanical Engineering, Waseda University
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Arakawa Masao
Department Of Mechanical Engineering And Science Faculty Of Engineering Tokyo Institute Of Technolog
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Yamakawa Hiroshi
Department Of Mechanical Engineering Waseda University
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Yamakawa Hiroshi
Department Of Aquatic Biosciences Tokyo University Of Fisheries
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