Improved gravitational search algorithm based on free search differential evolution

被引：8
|
作者：
Liu, Yong [1 ,2 ]
Ma, Liang [1 ]
机构：
[1] Shanghai Univ Sci & Technol, Sch Management, Shanghai 200093, Peoples R China
[2] Yancheng Inst Technol, Dept Fdn Courses Teaching, Yancheng 224051, Peoples R China
来源：
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2013年 / 24卷 / 04期
基金：
中国国家自然科学基金;
关键词：
gravitational search algorithm (GSA); free search differential evolution (FSDE); global optimization; PARTICLE SWARM OPTIMIZATION; GSA;
D O I：
10.1109/JSEE.2013.00080
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an improved gravitational search algorithm (IGSA) as a hybridization of a relatively recent evolutionary algorithm called gravitational search algorithm (GSA), with the free search differential evolution (FSDE). This combination incorporates FSDE into the optimization process of GSA with an attempt to avoid the premature convergence in GSA. This strategy makes full use of the exploration ability of GSA and the exploitation ability of FSDE. IGSA is tested on a suite of benchmark functions. The experimental results demonstrate the good performance of IGSA.
引用
收藏
页码：690 / 698
页数：9
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