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An artificial bee colony algorithm for multiobjective redundancy allocation problem in repairable system

机译:可修复系统中多目标冗余分配问题的人工蜂殖民地算法

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This paper proposed a multiobjective artificial bee colony algorithm (MOABC) to solve the reliability redundancy allocation problem (RAP) with multiple objectives, which introduces rank value and crowding distance in the greedy selection strategy, applies fast non-dominated sort procedure in the exploitation search and inserts tournament selection in the onlooker bee phase. The number of redundancy components is to be decided so as to maximize the availability and minimize the designing cost of the system simultaneously. It shows that the proposed algorithm can solve multiobjective redundancy allocation problem efficiently.
机译:本文提出了一种多目标人造群落算法(MOABC)来解决具有多个目标的可靠性冗余分配问题(RAP),这引入了贪婪选择策略中的排名值和拥挤距离,在开发搜索中应用快速的非主导排序过程并在旁观者蜂阶段插入锦标赛选择。要确定冗余分量的数量,以便最大化可用性并最大限度地减少系统的设计成本。它表明,所提出的算法可以有效地解决多目标冗余分配问题。

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