DocumentCode :
3217190
Title :
Cuckoo Search via Lévy flights
Author :
Yang, Xin-She ; Deb, Suash
Author_Institution :
Dept. of Eng., Univ. of Cambridge, Cambridge, UK
fYear :
2009
fDate :
9-11 Dec. 2009
Firstpage :
210
Lastpage :
214
Abstract :
In this paper, we intend to formulate a new meta-heuristic algorithm, called Cuckoo Search (CS), for solving optimization problems. This algorithm is based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Levy flight behaviour of some birds and fruit flies. We validate the proposed algorithm against test functions and then compare its performance with those of genetic algorithms and particle swarm optimization. Finally, we discuss the implication of the results and suggestion for further research.
Keywords :
algorithm theory; optimisation; search problems; Cuckoo search; Levy flight behaviour; birds; cuckoo species; fruit flies; metaheuristic algorithm; obligate brood parasitic behaviour; optimization problem; Lévy flight; algorithm; cuckoo search; meta-heuristics; nature-inspired strategy; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
Type :
conf
DOI :
10.1109/NABIC.2009.5393690
Filename :
5393690
Link To Document :
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