Gravitational Search Algorithm with a new technique

被引：2
|
作者：
Li, Juan [1 ]
Dong, Ning [2 ]
机构：
[1] Shaanxi Normal Univ, Sch Distance Educ, Xian, Shaanxi, Peoples R China
[2] Shaanxi Normal Univ, Sch Math & Info Sci, Xian, Shaanxi, Peoples R China
来源：
2017 13TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2017年
关键词：
Gravitational search algorithm; global optimization; particle swarm optimization; OPTIMIZATION;
D O I：
10.1109/CIS.2017.00120
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Gravitational search algorithm (GSA) has been invented by Newton Gravitational Law to solve complex global optimization problem. Many improved GSA has been proposed by many researches to improve its performance. In this paper, a new updating mechanism has been proposed to prevent premature convergence and stagnation in evolution. The core idea of particle swarm optimization (PSO) is introduced into GSA to overcome these issues. Some nonlinear benchmark functions are chosen to verify the effectiveness of new algorithm. The numerical experimental results show that the new algorithm is robustness.
引用
收藏
页码：516 / 519
页数：4
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