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Adaptive cuckoo search algorithm for unconstrained optimization

Ong, Pauline (2014) Adaptive cuckoo search algorithm for unconstrained optimization. The Scientific World Journal, 2014. pp. 1-8. ISSN 1537744X

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Abstract

Modification of the intensification and diversification approaches in the recently developed cuckoo search algorithm (CSA) is performed. The alteration involves the implementation of adaptive step size adjustment strategy, and thus enabling faster convergence to the global optimal solutions.The feasibility of the proposed algorithm is validated against benchmark optimization functions, where the obtained results demonstrate a marked improvement over the standard CSA, in all the cases.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Mechanical and Manufacturing Engineering > Department of Mechanical Engineering Technology
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 13 Aug 2018 03:35
Last Modified: 13 Aug 2018 03:35
URI: http://eprints.uthm.edu.my/id/eprint/9021
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