A new gravitational search algorithm using fuzzy logic to parameter adaptation

被引：0
|
作者：
Sombra, Alberto [1 ]
Valdez, Fevrier [1 ]
Melin, Patricia [1 ]
Castillo, Oscar [1 ]
机构：
[1] Tijuana Inst Technol, Tijuana, Mexico
来源：
2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2013年
关键词：
gravitational; search; algorithm; GSA; optimization; fuzzy; logic; parameter; adaptation;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper we propose a new Gravitational Search Algorithm (GSA) using fuzzy logic to change alpha parameter and give a different gravitation and acceleration to each agent in order to improve its performance, we use this new approach for mathematical functions and present a comparison with original approach.
引用
收藏
页码：1068 / 1074
页数：7
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