DocumentCode
2159795
Title
Particle Swarm Optimization and Firefly Algorithm: Performance analysis
Author
Bhushan, Bharat ; Pillai, Sakuntala S.
Author_Institution
Dept. of Electr. Eng., Delhi Technol. Univ., Delhi, India
fYear
2013
fDate
22-23 Feb. 2013
Firstpage
746
Lastpage
751
Abstract
With the help of evolutionary concepts and behavior of biotic components of nature, many optimization algorithms were developed. Optimization techniques like Particle Swarm Optimization and Firefly Algorithms are among the latest research topics. Several advancements have also been made in these algorithms. This paper carves out a comparative analysis of Particle Swarm Optimization (PSO) and Firefly Algorithm (FFA) in detail along with simulation results carried out on some standard benchmark functions.
Keywords
benchmark testing; evolutionary computation; particle swarm optimisation; FFA; PSO; biotic component behavior; evolutionary concepts; firefly algorithm; optimization algorithms; optimization techniques; particle swarm optimization; performance analysis; standard benchmark functions; Algorithm design and analysis; Benchmark testing; Conferences; Convergence; Optimization; Particle swarm optimization; Synchronization; Benchmark Functions; Firefly Algorithm; Optimization; Particle Swarm Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Computing Conference (IACC), 2013 IEEE 3rd International
Conference_Location
Ghaziabad
Print_ISBN
978-1-4673-4527-9
Type
conf
DOI
10.1109/IAdCC.2013.6514320
Filename
6514320
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