DocumentCode :
2927322
Title :
Towards the improvement of Cuckoo search algorithm
Author :
Soneji, H. ; Sanghvi, R.C.
Author_Institution :
Dept. of Math., G.H. Patel Coll. of Eng. & Technol., Vallabh Vidyanagar, India
fYear :
2012
fDate :
Oct. 30 2012-Nov. 2 2012
Firstpage :
878
Lastpage :
883
Abstract :
Cuckoo search algorithm via L´evy flights by Xin-She Yang and Saush Deb [1] for optimizing a nonlinear function uses generation of random numbers with symmetric L´evy distribution obtained by Mantegna´s algorithm. However, instead of using the original algorithm, they have used a simplified version to generate L´evy flights during the Cuckoo search algorithm [2]. Also, apaper by MatteoLeccardi [3] describes three algorithms to generate such random numbers and claims that McCulloch´s algorithm is outperforming the other two, namely, Mantegna´s algorithm and rejection algorithm. The idea in this paper is to compare and see if the Cuckoo Search algorithm shows any improvement in the performance in three cases when the simplified version algorithm, Mantegna´s algorithm and McCulloch´s algorithm each of them is included in Cuckoo Search algorithm to generate L´evy flights.
Keywords :
nonlinear functions; nonlinear programming; random number generation; random processes; search problems; Levy flights; Mantegna algorithm; McCulloch algorithm; cuckoo search algorithm; nonlinear function optimization; optimization; random number generation; rejection algorithm; symmetric Levy distribution; Algorithm design and analysis; Benchmark testing; Birds; Optimization; Search problems; Sociology; Vectors; Cuckoo search; L´evy flights; Mantegna´s algorithm; McCulloch´s algorithm; optimization; random number generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies (WICT), 2012 World Congress on
Conference_Location :
Trivandrum
Print_ISBN :
978-1-4673-4806-5
Type :
conf
DOI :
10.1109/WICT.2012.6409199
Filename :
6409199
Link To Document :
بازگشت