Research on Chaotic Firefly Algorithm and the Application in Optimal Reactive Power Dispatch
Abstract: Firefly algorithm
(FA) is a newly proposed swarm intelligence optimization algorithm. Like many other
general swarm intelligence optimization algorithms, the original version of FA
is easy to trap into local optima. In order to overcome this drawback, the
chaotic firefly algorithm (CFA) is proposed. The methods of chaos
initialization, chaos population regeneration and linear decreasing inertia
weight have been introduced into the original version of FA so as to increase
its global search mobility for robust global optimization. The CFA is
calculated in Matlab and is examined on six benchmark functions. In order to evaluate
the engineering application of the algorithm, the reactive power optimization
problem in IEEE 30 bus system is solved by CFA. The outcomes show that the CFA
has better performance compared to the original version of FA and PSO.
Author: Genfu Xiao, Huan Liu,
Yanhui Zhou, Yuming Guo
Journal Code: jptkomputergg170114
