计算机应用研究2011，Vol.28Issue(2)：451-454,4.DOI:10.3969/j.issn.1001-3695.2011.02.011
多目标进化算法鲁棒性实验研究
Experimental research on robust multi-objective evolutionary algorithm
摘要
Abstract
In optimization studies including multi-objective evolutionary algorithms, the main focus is placed on finding the global optimum or global pareto-optimal solutions.However, in practice, the environment is not static, need to find robust solutions.Due to environmental uncertainly and the lack of suitable test function, multi- objective robust optimization problem is very little research.This paper tested the performance of the algorithm in the presence of the noise through experiments.Experimental results show that the original test function is no longer applicable, need construct robust test function.关键词
多目标进化算法/鲁棒性/测试函数分类
信息技术与安全科学引用本文复制引用
任亚峰,郑金华..多目标进化算法鲁棒性实验研究[J].计算机应用研究,2011,28(2):451-454,4.基金项目
国家自然科学基金资助项目(60773047) （60773047）
湖南省自然科学基金资助项目(09JJ6089) （09JJ6089）
湖南省教育厅科研项目(06A074) （06A074）
