Volume 9 Number 5 (May 2014)
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JCP 2014 Vol.9(5): 1282-1290 ISSN: 1796-203X
doi: 10.4304/jcp.9.5.1282-1290

Chaotic Cuckoo Search Algorithm for Highdimensional Functions

Aijia Ouyang1, 2, Guo Pan2, 3, Guangxue Yue2, 4, and Jiayi Du2, 4
1College of Computer, Hunan Science & Technology Economy Trade Vocation College, Hengyang, China
2College of Information Science and Engineering, Hunan University, Changsha, China
3Logistics Information Dept., Hunan Vocational College of Modern Logistics, Changsha, China
3College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing, China


Abstract—Given that the basic cuckoo search algorithm is vulnerable to local optimum and unsatisfactory calculation precision, chaotic operator (CO), employed as local algorism to optimize elitist individuals in the population, can effectively enhance the properties of cuckoo search (CS) algorithm. Tested by 15 benchmark high-dimensional functions, the experiment result indicates that chaotic cuckoo search (CCS) algorithm can increase the calculation precision and step up the convergent speed with improved robustness, which can be applied to other engineering optimization problems.

Index Terms—chaos, cuckoo search, lévy flight, highdimensional function, optimization

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Cite: Aijia Ouyang, Guo Pan, Guangxue Yue, and Jiayi Du, "Chaotic Cuckoo Search Algorithm for Highdimensional Functions," Journal of Computers vol. 9, no. 5, pp. 1282-1290, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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