中南大学学报（自然科学版）2011，Vol.42Issue(7)：1973-1980,8.
一种基于Alopex和分布估计算法融合的进化算法及其在参数估计中的应用
A new evolutionary algorithm combining Alopex with estimation of distribution algorithm and its application to parameter estimation
摘要
Abstract
A new evolutionary optimization algorithm (EDA-Alopex) based on Alopex and estimation of distribution algorithm (EDA) was constructed. In EDA-Alopex, EDA was embedded into Alopex-based evolutionary algorithm (AEA) for the purpose of improving the performance of AEA, owing to a fast convergence and unique evolutionary model owned by EDA. The proposed algorithm integrated the correlation information between different individuals obtained by AEA algorithm with the global probability information extracted by EDA, which can guide the population to evolve toward more promising domain. The results show that the search performance of EDA-Alopex improved by EDA gains a relatively great improvement, particularly its convergence speed has obvious advantages compared with the single AEA algorithm.关键词
Alopex/分布估计算法/函数优化/参数估计Key words
Alopex/estimation of distribution algorithm (EDA)/function optimization/parameter estimation分类
信息技术与安全科学引用本文复制引用
李飞,李绍军,梅真贞..一种基于Alopex和分布估计算法融合的进化算法及其在参数估计中的应用[J].中南大学学报（自然科学版）,2011,42(7):1973-1980,8.基金项目
国家自然科学基金资助项目 (20976048) （20976048）
