CAJ | 학술논문

为了解决具有表决冗余结构的系统可靠度多目标优化与分配问题，提出了一种新颖的算法———基于解耦的邻域种群集多目标自适应差分进化算法（ ADEMO／D－ENS ），该算法将变邻域解耦算法和PM自适应差分进化算法相结合，不仅克服了经典差分进化算法存在的缺陷，同时解决了解耦算法邻域种群选择的问题，并将该算法和NSGA－2算法进行了仿真对比。最后，将ADEMO／D－ENS算法用于某系统可靠度和成本的多目标优化，确定了系统可靠度和成本的Pareto前沿，并给出了决策者感兴趣的组件可靠度和冗余度数据。
위료해결구유표결용여결구적계통가고도다목표우화여분배문제，제출료일충신영적산법———기우해우적린역충군집다목표자괄응차분진화산법（ ADEMO／D－ENS ），해산법장변린역해우산법화PM자괄응차분진화산법상결합，불부극복료경전차분진화산법존재적결함，동시해결료해우산법린역충군선택적문제，병장해산법화NSGA－2산법진행료방진대비。최후，장ADEMO／D－ENS산법용우모계통가고도화성본적다목표우화，학정료계통가고도화성본적Pareto전연，병급출료결책자감흥취적조건가고도화용여도수거。
In order to solve optimization and allocation of multi-objective reliability redundancy system with voting, a novel algorithm based on decomposition with ensemble of neighborhood sizes and multi-objective adaptive differen-tial evolutionary algorithm ( ADEMO/D-ENS) is proposed, which combines the decomposition with variable neigh-borhood sizes and probability matching adaptive differential algorithm.The proposed algorithm not only overcomes drawbacks of the classical differential evolutionary method, but also solves selection of neighborhood size based on decomposition technique.Simulation contrast between ADEMO/D-ENS algorithm and NSGA-2 was done.Finally, the proposed algorithm was employed to do multi-objective reliability and cost optimization of a certain system, and the pareto front between system reliability and cost is obtained.Meanwhile, component reliability and redundancies, which the decision maker may be interested in, were given.