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Cuckoo Search Algorithm with Hybrid Factor Using Dimensional Distance
Joint Authors
Lin, Yaohua
Zhang, Cuiping
Liang, Zhong
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-13
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper proposes a hybrid factor strategy for cuckoo search algorithm by combining constant factor and varied factor.
The constant factor is used to the dimensions of each solution which are closer to the corresponding dimensions of the best solution, while the varied factor using a random or a chaotic sequence is utilized to farer dimensions.
For each solution, the dimension whose distance to the corresponding one of the best solution is shorter than mean distance of all dimensional distances will be regarded as the closer one, otherwise as the farer one.
A suit of 20 benchmark functions are employed to verify the performance of the proposed strategy, and the results show the improvement in effectiveness and efficiency of the hybridization.
American Psychological Association (APA)
Lin, Yaohua& Zhang, Cuiping& Liang, Zhong. 2016. Cuckoo Search Algorithm with Hybrid Factor Using Dimensional Distance. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112234
Modern Language Association (MLA)
Lin, Yaohua…[et al.]. Cuckoo Search Algorithm with Hybrid Factor Using Dimensional Distance. Mathematical Problems in Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1112234
American Medical Association (AMA)
Lin, Yaohua& Zhang, Cuiping& Liang, Zhong. Cuckoo Search Algorithm with Hybrid Factor Using Dimensional Distance. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112234
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112234