Firefly algorithm with adaptive control parameters

被引：135

作者：

Wang, Hui ^{[1
,2
]}

Zhou, Xinyu ^{[3
]}

Sun, Hui ^{[2
]}

Yu, Xiang ^{[2
]}

Zhao, Jia ^{[2
]}

Zhang, Hai ^{[2
]}

Cui, Laizhong ^{[4
]}

机构：

[1] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China

[2] Nanchang Inst Technol, Sch Informat Engn, Nanchang 330099, Jiangxi, Peoples R China

[3] Jiangxi Normal Univ, Coll Comp & Informat Engn, Nanchang 330022, Jiangxi, Peoples R China

[4] Shenzhen Univ, Coll Comp Sci & Software Engn, Shenzhen 518060, Peoples R China

来源：

SOFT COMPUTING | 2017年 / 21卷 / 17期

基金：

中国国家自然科学基金; 国家教育部科学基金资助;

关键词：

Firefly algorithm (FA); Swarm intelligence; Adaptive control parameters; Self-adaptive FA; Global optimization; INTELLIGENCE; CHAOS; SEGMENTATION; EFFICIENT; NETWORK; DESIGN;

D O I：

10.1007/s00500-016-2104-3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Firefly algorithm (FA) is a new swarm intelligence optimization method, which has shown good search abilities on many optimization problems. However, the performance of FA highly depends on its control parameters. In this paper, we investigate the control parameters of FA, and propose a modified FA called FA with adaptive control parameters (ApFA). To verify the performance of ApFA, experiments are conducted on a set of well-known benchmark problems. Results show that the ApFA outperforms the standard FA and five other recently proposed FA variants.

引用

页码：5091 / 5102

页数：12

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