Genetic algorithms for reliability design problems |
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| Authors: | Yi-Chih Hsieh Ta-Cheng Chen Dennis L. Bricker |
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| Affiliation: | aDepartment of Industrial Engineering, National Huwei Institute of Technology, Huwei, Yunlin 63208, Taiwan, Republic of China;bDepartment of Information Management, Chang Jung University, Kway Jen, Tainan 711, Taiwan, Republic of China;cDepartment of Industrial Engineering, The University of Iowa, Iowa City, IA 52242, USA |
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| Abstract: | This paper presents genetic algorithms for solving various reliability design problems, which include series systems, series–parallel systems and complex (bridge) systems. The objective is to maximize the system reliability, while maintaining feasibility with respect to three nonlinear constraints, namely, cost and weight constraints, and constraints on the products of volume and weight. In this paper, mixed-integer reliability problems are studied. Numerical examples show that genetic algorithms perform well for all the reliability problems considered in this paper. In particular, as reported, some solutions obtained by genetic algorithms are better than previously best-known solutions. |
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