Firefly algorithm with adaptive control parameters

被引：1
|
作者：
Hui Wang
Xinyu Zhou
Hui Sun
Xiang Yu
Jia Zhao
Hai Zhang
Laizhong Cui
机构：
[1] Nanjing University of Information Science and Technology,School of Computer and Software
[2] Nanchang Institute of Technology,School of Information Engineering
[3] Jiangxi Normal University,College of Computer and Information Engineering
[4] Shenzhen University,College of Computer Science and Software Engineering
来源：
Soft Computing | 2017年 / 21卷
关键词：
Firefly algorithm (FA); Swarm intelligence; Adaptive control parameters; Self-adaptive FA; Global optimization;
D O I：
暂无
中图分类号：
学科分类号：
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
收藏
页码：5091 / 5102
页数：11
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