RGSA: A New Improved Gravitational Search Algorithm

被引：0
|
作者：
Wang, Ruopeng [1 ]
Su, Fang [1 ]
Hao, Tongan [1 ]
Li, Jilong [2 ]
机构：
[1] Beijing Univ Posts & Telecommun, Beijing, Peoples R China
[2] Acad Broadcasting Sci, Beijing, Peoples R China
来源：
PROCEEDINGS OF THE 2018 3RD INTERNATIONAL CONFERENCE ON MODELLING, SIMULATION AND APPLIED MATHEMATICS (MSAM 2018) | 2018年 / 160卷
关键词：
gravitational search algorithm; exploration; exploitation; revolving operator;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, an improved gravitational search algorithm, revolving gravitational search algorithm (RGSA) is proposed. RGSA optimizes the selection of kbest in GSA by importing revolving operator, lets agents not included in kbest have opportunity to influence other agents' movement. RGSA could further exploit potential districts and strengthen the ability of exploration than GSA. Experiments confirm the high efficiency of RGSA.
引用
收藏
页码：202 / 207
页数：6
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