计算机与现代化Issue(2)：48-51,4.DOI:10.3969/j.issn.1006-2475.2013.02.012
基于文化差分算法的无约束优化问题研究
Research on Solving Unconstrained Optimization Based on Cultural-Differential Algorithm
周小文 1蒋泽军1
作者信息
- 1. 西北工业大学计算机学院,陕西西安710129
- 折叠
摘要
Abstract
Unconstrained optimization is an ancient mathematics issue, due to the development of the intelligent computing science , there are many of techniques that can cope with such problems as well, besides classic mathematics' method. This paper takes advantage of the cultural algorithm's double-layers architecture and embeds the differential evolution in updating operation of the knowledge space to achieve situationable knowledge updating by differential evolution during evolution of the whole architecture, then population space makes use of all these information to assure correct evolution direction and to fulfill individual evolution efficiently in order to improve the algorithm' s performance. This paper selects 6 benchmark functions to test the classic algorithm and the improved algorithm. The results demonstrate that the later improves the performance.关键词
无约束优化/文化算法/差分进化Key words
unconstrained optimization/ cultural algorithm/ differential evolution分类
信息技术与安全科学引用本文复制引用
周小文,蒋泽军..基于文化差分算法的无约束优化问题研究[J].计算机与现代化,2013,(2):48-51,4.
