计算机工程与应用2011，Vol.47Issue(24)：58-61,76,5.DOI:10.3778/j.issn.1002-8331.2011.24.017
一种求解鲁棒优化问题的多目标进化方法
Evolutionary multi-objective approach for solving robust optimization problem
摘要
Abstract
Robust Optimization Problem(ROP) is one of the most important parts of Evolutionary Multiobjective Optimization (EMO).For most practical engineering optimization problems, the aim of them is to obtain robust optimal solutions.In this paper, the concept of Pareto in multiobjective optimization is employed to deal simultaneously with robustness and opti-mality.Therefore, a ROP is transformed into a biobjective problem, one of which is the robustness of solution and the other is the optimality of solution.Combining the characteristics of ROP and multi-objective optimization, a Multi-Objective Evolutionary Algorithm (MOEA) for solving ROPs is designed by dynamic weight strategy.By the several experiments on two ROP test problems,the results demonstrate that the proposed evolutionary multi-objective approach is efficient.关键词
鲁棒优化问题/多目标进化算法/干扰/鲁棒性/最优性Key words
Robust Optimization Problem (ROP)/ Multi-Objective Evolutionary Algorithm (MOEA)/ disturbance/ robustness/ optimality分类
信息技术与安全科学引用本文复制引用
李亚林,陈静,罗彪,任亚峰,李密青..一种求解鲁棒优化问题的多目标进化方法[J].计算机工程与应用,2011,47(24):58-61,76,5.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60773047) （the National Natural Science Foundation of China under Grant No.60773047）
湖南省自然科学基金(No.09JJ6089) （No.09JJ6089）
湖南省教育厅重点科研项目(No.06A074) （No.06A074）
湖南省教育厅一般项目(No.07C752). （No.07C752）
