Application of Nonlinear Mixed Integer Programming as Optimization Procedure
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概要
- 論文の詳細を見る
Optimum design analysis in engineering is generally formulated as a problem of nonlinear programming or nonlinear mixed integer programming including selection among alternatives. However, all working methods presently available for linear mixed integer programming are confined essentially to linear problems and lack versatility. To overcome this situation, a new procedure for nonlinear mixed integer programming with constraint functions was developed for solving general optimum design problems. In this paper, an application study on well design is presented as an example to verify the usefulness of the developed optimization procedure.
- 一般社団法人日本機械学会の論文
- 1995-10-15
著者
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Yagawa Genki
Department Of Nuclear Engineering University Of Tokyo
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Inowaki Ryuichi
Petroleum Engineering Lab. Technology Research Center Japan National Oil Corporation
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Yagawa Genki
Department Of Quantum Engineering And System Science University Of Tokyo
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Mimaki Toshitaro
Steel Products Lab. -II, Steel Research Laboratories, Nippon Steel Corporation
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Mimaki Toshitaro
Steel Products Lab. -ii Steel Research Laboratories Nippon Steel Corporation
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