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
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;
Conference_Titel :
Radar, Communication and Computing (ICRCC), 2012 International Conference on
Conference_Location :
Tiruvannamalai
Print_ISBN :
978-1-4673-2756-5
DOI :
10.1109/ICRCC.2012.6450559
