DocumentCode :
1986903
Title :
Adaptive Firefly Optimization Algorithm Based on Stochastic Inertia Weight
Author :
Changnian Liu ; Yafei Tian ; Qiang Zhang ; Jie Yuan ; Binbin Xue
Author_Institution :
Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
Volume :
1
fYear :
2013
fDate :
28-29 Oct. 2013
Firstpage :
334
Lastpage :
337
Abstract :
Firefly Algorithm (FA) originates from the swarm behavior which is inspired by natural fireflies through the fluorescence to exchange information. As a novel bionic swarm intelligent optimization algorithm, it has advantages of simple operation, high calculation efficiency, less parameters and so on, but it also exists defects of slow convergence speed and low optimization accuracy. In order to solve the above problems, this paper proposes the adaptive firefly optimization algorithm based on stochastic inertia weight (AFA). The improved optimization algorithm has feasibility and superiority. The results of the test consisting of five functions´ optimization and PID parameters tuning further show that the algorithm optimization ability is better than the original FA and the genetic algorithm (GA).
Keywords :
convergence; optimisation; stochastic processes; swarm intelligence; AFA; PID parameter tuning; adaptive firefly optimization algorithm; bionic swarm intelligent optimization algorithm; convergence speed; fluorescence; function optimization; information exchange; natural fireflies; optimization ability; optimization accuracy; stochastic inertia weight; swarm behavior; Algorithm design and analysis; Brightness; Equations; Heuristic algorithms; Linear programming; Mathematical model; Optimization; PID control; adaptive firefly optimization algorithm; firefly algorithm; function optimization; genetic algorithm; stochastic inertia weight;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location :
Hangzhou
Type :
conf
DOI :
10.1109/ISCID.2013.90
Filename :
6805003
Link To Document :
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