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 modified particle swarm optimization (MPSO) algorithm is proposed to solve the reliability redundancy optimization problem. This algorithm modifies the strategy of generating new position of particles. For each generation solution, the flight velocity of particles is removed. Whereas the new position of each particle is generated by using difference strategy. Moreover, an adaptive parameter is used to ensure diversity of feasible solutions. Experimental results on four benchmark problems demonstrate that the proposed MPSO has better robustness, effectiveness and efficiency than other algorithms reported in literatures for solving the reliability redundancy optimization problem.

Index Terms—nonlinear programming, PSO, reliability optimization, redundancy allocation, adaptive mechanism

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Cite: Yubao Liu, Guihe Qin, "A Modified Particle Swarm Optimization Algorithm for Reliability Redundancy Optimization Problem," Journal of Computers vol. 9, no. 9, pp. 2124-2131, 2014.