A new hybrid global optimization algorithm

被引：0

作者：

Ding, Wang ^{[1
]}

机构：

[1] Xian Univ Sci & Technol, Coll Sci, Xian, Shaanxi, Peoples R China

来源：

2018 14TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2018年

关键词：

gravitation search algorithm; artificial bee colony; hybrid optimization algorithm; COLONY;

D O I：

10.1109/CIS2018.2018.00087

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Focusing on the disadvantages of gravitation search algorithm (GSA) and artificial bee colony (ABC), such as low convergence precision, slow convergence, and this paper proposed a new hybrid optimization algorithm NHA based on GSA and ABC. NHA balance exploitation and exploration. Numerical experiments show that NHA has good results in high dimensions.

引用

页码：366 / 368

页数：3

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