BGSA: binary gravitational search algorithm

被引：542

作者：

Rashedi, Esmat ^{[1
]}

Nezamabadi-pour, Hossein ^{[1
]}

Saryazdi, Saeid ^{[1
]}

机构：

[1] Shahid Bahonar Univ Kerman, Dept Elect Engn, Kerman, Iran

来源：

NATURAL COMPUTING | 2010年 / 9卷 / 03期

关键词：

Gravitational search algorithm; Heuristic search algorithms; Law of gravity; Optimization; FEATURE-SELECTION; OPTIMIZATION; SYSTEM;

D O I：

10.1007/s11047-009-9175-3

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 is one of the new optimization algorithms that is based on the law of gravity and mass interactions. In this algorithm, the searcher agents are a collection of masses, and their interactions are based on the Newtonian laws of gravity and motion. In this article, a binary version of the algorithm is introduced. To evaluate the performances of the proposed algorithm, several experiments are performed. The experimental results confirm the efficiency of the BGSA in solving various nonlinear benchmark functions.

引用

页码：727 / 745

页数：19

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