A method for interval 0–1 nonlinear programming problem using a genetic algorithm |
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| Authors: | Takao Yokota Mitsuo Gen Takeaki Taguchi Yinxiu Li |
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| Affiliation: | Department of Industrial and Systems Engineering Ashikaga Institute of Technology, Ashikaga 326, Japan |
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| Abstract: | In this paper, we formulate an optimal design problem of system reliability as a nonlinear integer programming problem with interval coefficients, transform it into a bicriteria 0–1 nonlinear programming problem without interval coefficients, and solve it directly using GA with holding nonlinear objective functions. Also, we demonstrate the efficiency of this method with a numerical example. |
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| Keywords: | nonlinear programming interval coefficient genetic algorithm (GA) |
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