DocumentCode
3252512
Title
Firefly Algorithm with fireflies having quantum behavior
Author
Manju, A. ; Nigam, M.J.
Author_Institution
Dept. of Electron. & Comput. Eng., Indian Inst. of Technol. Roorkee, Roorkee, India
fYear
2012
fDate
21-22 Dec. 2012
Firstpage
117
Lastpage
119
Abstract
Firefly Algorithm (FA), a population based algorithm has been found superior over other algorithms in solving optimization problems. In this paper we intend to formulate a quantum Delta potential well model for FA. The fireflies are placed in an exponent atmosphere where the extinction coefficient varies with distance between the fireflies and a global updation operator with weighting function was employed. Testing the algorithm on various Benchmark functions has proven its superiority.
Keywords
optimisation; probability; FA; benchmark functions; exponent atmosphere; firefly algorithm; global updation operator; optimization problems; population based algorithm; probability theory; quantum Delta potential well model; weighting function; Algorithm design and analysis; Atmospheric modeling; Mathematical model; Optimization; Sociology; Statistics; Firefly Algorithm; dirac delta function; exponential atmosphere; global optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar, Communication and Computing (ICRCC), 2012 International Conference on
Conference_Location
Tiruvannamalai
Print_ISBN
978-1-4673-2756-5
Type
conf
DOI
10.1109/ICRCC.2012.6450559
Filename
6450559
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