工程设计学报2011，Vol.18Issue(6)：412-417,6.DOI:10.3785/j.issn.1006-754X.2011.06.003
基于差异演化算法和多属性决策的机电系统可靠性多目标优化设计
Mechanical electronics system reliability multi-objective optimization design based on differential evolution algorithm and multiple attribute decision making
摘要
Abstract
In order to improve mechanical electronics system reliability, a multi-objective optimization model based on reliability indices and cost (volume et al. ) was constructed. Adaptive Multi-Objective Differential Evolution Algorithm (AMODE) was proposed. The algorithm proposed chaotic crossover ratio and adaptive scaling factor, improved quick sort algorithm was employed to build Pareto optimal solutions, and the shrink of an external archive was achieved based on crowding distance, which was used in NSGA-II. The Pareto optimal solutions were obtained by AMODE. Multiple attribute decision making method TOPSIS was adopted to rank these solutions. An actual project solution shows that less parameters of AMODE need adjust and the algorithm can obtain uniformly distributed Pareto optimal solutions. The result based on multiple attribute decision making method-TOPSIS is reasonable and feasible.关键词
可靠性/多目标优化/多属性决策/TOPSIS/自适应Key words
reliability/ multi-objective optimization/ multiple attribute decision making/ TOPSIS/ adaptive分类
信息技术与安全科学引用本文复制引用
卢青波,张学良,温淑花,兰国生,刘丽琴..基于差异演化算法和多属性决策的机电系统可靠性多目标优化设计[J].工程设计学报,2011,18(6):412-417,6.基金项目
国家自然科学基金资助项目(50775153) （50775153）
高等学校博士学科点专项科研基金资助项目(20091415110002) （20091415110002）
山西省自然科学基金资助项目(2008011027-1) （2008011027-1）
山西省研究生教育改革研究项目(20092016) （20092016）
山西省研究生优秀创新项目(20093022). （20093022）
