论文:2014,Vol:32,Issue(6):987-993
引用本文:
刘志君, 高亚奎, 章卫国, 胡云池. 基于ADEMO/D-ENS算法的表决冗余系统多目标可靠度优化与分配[J]. 西北工业大学学报
Liu Zhijun, Gao Yakui, Zhang Weiguo, Hu Yunchi. Multi-Objective Reliability Optimization and Allocation of Redundancy System with Voting based on ADEMO/D-ENS Algorithm[J]. Northwestern polytechnical university

基于ADEMO/D-ENS算法的表决冗余系统多目标可靠度优化与分配
刘志君1, 高亚奎2, 章卫国1, 胡云池3
1. 西北工业大学 自动化学院, 陕西 西安 710129;
2. 中国航空工业集团公司 西安飞机设计研究所, 陕西 阎良 710000;
3. 空军航空大学 军事教育训练系, 辽宁 长春 130022
摘要:
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。
关键词:    可靠度    多目标优化    自适应算法    冗余    PM自适应    差分进化   
Multi-Objective Reliability Optimization and Allocation of Redundancy System with Voting based on ADEMO/D-ENS Algorithm
Liu Zhijun1, Gao Yakui2, Zhang Weiguo1, Hu Yunchi3
1. Department of Automation Control, Northwestern Polytechnical University, Xi'an 710129;
2. First Aircraft Institute, Aviation Industry Corporation of China, Yanliang 710000;
3. Department of Military Education Training, Aviation University of Air Force, Changchun, 130022
Abstract:
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 overcomesdrawbacks of the classical differential evolutionary method,but also solves selection of neighborhood size based ondecomposition 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,andthe pareto front between system reliability and cost is obtained. Meanwhile, component reliability andredundancies,which the decision maker may be interested in,were given.
Key words:    reliability    multiobjective optimization    aduptive algorithm    redundanay    differertial euluting    differ-ential evolution   
收稿日期: 2014-04-18     修回日期:
DOI:
基金项目: 航空科学基金(20125853035)资助
通讯作者:     Email:
作者简介: 刘志君(1982-),女,西北工业大学博士研究生,主要从事飞行控制系统性能指标分配与评估的研究。
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