¹College of Computer Science and Technology, Jilin University, Changchun, China
 College of Computer Science and Technology, Changchun University, Changchun, China
²College of Computer Science and Technology, Jilin University, Changchun, China
 Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University,   Changchun, China

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Abstract—In this paper, a hybrid TS-DE algorithm based on Tabu search and differential evolution algorithm is proposed to solve the reliability redundancy optimization problem. A differential evolution algorithm is embedded in Tabu search algorithm. TS is applied for searching solutions space, and DE is used for generating neighborhood solutions. The advantages of both algorithms are considered simultaneously. And an adaptive hybrid TS-DE approach is developed to solve three benchmark reliability redundancy allocation problems. By comparing with other algorithms reported in previous literatures, experimental results show that the proposed method is effective and efficient for solving the reliability redundancy optimization problem.

Index Terms—nonlinear programming, Tabu search, differential evolution, reliability optimization, redundancy allocation

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Cite: Yubao Liu, Guihe Qin, "A Hybrid TS-DE Algorithm for Reliability Redundancy Optimization Problem," Journal of Computers vol. 9, no. 9, pp. 2050-2057, 2014.