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Tuning of Cuckoo Search Based Strategy for T-Way Testing

Abdullah, Nasser and Alsewari, Abdulrahman A. and Kamal Z., Zamli (2015) Tuning of Cuckoo Search Based Strategy for T-Way Testing. Journal of Engineering and Applied Sciences, 10 (19). 8948 -89453. ISSN 1819-6608

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Abstract

Cuckoo Search Strategy (CSS) is the newly developed strategy based on the Cuckoo Search Algorithm. In order to achieve best performance, a number of parameters in the Cuckoo Search Algorithm needs to be tuned namely the nest size, the elitism probability, and the repetition. This paper describes the tuning process for Cuckoo Search Algorithm involving t-way testing, that is, by taking the standard covering array involving CA (N, 2, 46). Our initial experiment results using obtained range of parameter values of CSS demonstration that CSS able to give sufficiently competitive results compared to existing work.

Item Type: Article
Uncontrolled Keywords: problem T-way testing, cuckoo search algorithm, combinatorial problem, tuning, parameters.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 07 Mar 2016 03:04
Last Modified: 15 Jan 2018 07:32
URI: http://umpir.ump.edu.my/id/eprint/11811
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