A knowledge-based archive multi-objective simulated annealing algorithm to optimize series-parallel system with choice of redundancy strategies

作者：Zaretalab Arash; Hajipour Vahid^*; Sharifi Mani; Shahriari Mohammad Reza

来源：Computers & Industrial Engineering, 2015, 80: 33-44.

DOI：10.1016/j.cie.2014.11.008

• Reliability
• Redundancy allocation problem
• Knowledge-based archive multi-objective simulated annealing algorithm

Redundancy allocation problem (RAP) is one of the best-developed problems in reliability engineering studies. This problem follows to optimize the reliability of a system containing s sub-systems under different constraints, including cost, weight, and volume restrictions using redundant components for each sub-system. Various solving methodologies have been used to optimize this problem, including exact, heuristic, and meta-heuristic algorithms. In this paper, an efficient multi-objective meta-heuristic algorithm based on simulated annealing (SA) is developed to solve multi-objective RAP (MORAP). This algorithm is knowledge-based archive multi-objective simulated annealing (KBAMOSA). KBAMOSA applies a memory matrix to reinforce the neighborhood structure to achieve better quality solutions. The results analysis and comparisons demonstrate the performance of the proposed algorithm for solving MORAP.

• 出版日期2015-2