Robust Metaheuristic Algorithm for Redundancy Optimization in Large-Scale Complex Systems |
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Authors: | Hong Seo Ryoo |
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Affiliation: | (1) Department of Industrial Systems and Information Engineering, Korea University, 1, 5-Ka, Anam-Dong, Sungbuk-Ku, Seoul, 136-701, Korea |
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Abstract: | Based upon the general tabu search methodology, this paper develops a robust metaheuristic algorithm for the redundancy optimization in large-scale complex system reliability that performs a rigorous search of the “attractive” feasible space and is capable of escaping from a local solution. An illustrative example is provided and extensive computational results are reported on two test problems from the literature (Aggarwal, 1976; Shi, 1987) and also on randomly generated large-scale instances of complex systems with up to 200 components. The computational results indicate that the proposed metaheuristic algorithm possesses a superior robustness and efficiency for solving the class of hard optimization problems studied in this paper. |
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Keywords: | reliability redundancy complex system tabu search metaheuristic |
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