Firefly algorithm with adaptive control parameters

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...

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Bibliographic Details
Published in:	Soft computing (Berlin, Germany) Vol. 21; no. 17; pp. 5091 - 5102
Main Authors:	Wang, Hui, Zhou, Xinyu, Sun, Hui, Yu, Xiang, Zhao, Jia, Zhang, Hai, Cui, Laizhong
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2017 Springer Nature B.V
Subjects:	Adaptive algorithms Adaptive control Algorithms Artificial Intelligence Computational Intelligence Control Design optimization Engineering Heuristic methods Mathematical Logic and Foundations Mechatronics Methodologies and Application Optimization Parameter modification Robotics Swarm intelligence Adaptive control parameters Global optimization Firefly algorithm (FA) Swarm intelligence Self-adaptive FA
ISSN:	1432-7643, 1433-7479
Online Access:	Get full text
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