详细信息
文献类型:期刊文献
中文题名:基于DE的浮点数编码自适应进化算法研究
英文题名:Research on Self-adaptive Float Evolution Algorithm Based on DE
作者:崔明义[1]
第一作者:崔明义
机构:[1]河南财经学院信息学院
第一机构:河南财经政法大学计算机与信息工程学院
年份:2008
卷号:35
期号:7
起止页码:188-190
中文期刊名:计算机科学
外文期刊名:Computer Science
收录:CSTPCD;;北大核心:【北大核心2004】;CSCD:【CSCD2011_2012】;
基金:河南省基础与前沿技术研究项目(082300410100)的资助
语种:中文
中文关键词:DE;浮点数编码;自适应;进化算法
外文关键词:DE, Float code,Self adaptive,Evolution algorithm
摘要:DE自问世以来,一直是进化计算研究的热点。DE有着良好的搜索特性、较强的鲁棒性和较高的微调能力。而浮点数编码在提高算法性能和运算质量,将进化算法应用于工程优化领域中有着其它编码所不能比拟的优势。本文将DE与浮点数编码的进化计算相结合,提出了基于DE的浮点数编码自适应进化算法。经过分析和实验,验证了本算法在搜索性能上是可靠的,方法是可行的,在工程优化中具有较强的实用性。
Since Differential Evolution (DE) was proposed by researchers,it was the focus in evolution computation research. There are better search performance, stronger robustness and higher perturbation property in DE. But in improving the performance of algorithm and running quality, extending evolution algorithm application to engineering optimization, float code is superior to other codes. In this paper,DE was combined with float code evolution computation, selfadaptive float evolution algorithms based on differential evolution (SFEADE) were proposed. Through analyzing and experiment, the result indicated the algorithm was credible in performance and feasible in method. It was stronger in practicability.
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