Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites
The teaching learning-based optimization (TLBO) algorithm has shown competitive performance in solving numerous real-world optimization problems. Nevertheless, this algorithm requires better control for exploitation and exploration to prevent premature convergence (i.e., trapped in local optima), as...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/61927/ http://psasir.upm.edu.my/id/eprint/61927/1/Fuzzy%20adaptive%20teaching%20learning.pdf |
| _version_ | 1848854518969663488 |
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| author | Zamli, Kamal Zuhari Din, Fakhrud Baharom, Salmi Ahmed, Bestoun S. |
| author_facet | Zamli, Kamal Zuhari Din, Fakhrud Baharom, Salmi Ahmed, Bestoun S. |
| author_sort | Zamli, Kamal Zuhari |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The teaching learning-based optimization (TLBO) algorithm has shown competitive performance in solving numerous real-world optimization problems. Nevertheless, this algorithm requires better control for exploitation and exploration to prevent premature convergence (i.e., trapped in local optima), as well as enhance solution diversity. Thus, this paper proposes a new TLBO variant based on Mamdani fuzzy inference system, called ATLBO, to permit adaptive selection of its global and local search operations. In order to assess its performances, we adopt ATLBO for the mixed strength t-way test generation problem. Experimental results reveal that ATLBO exhibits competitive performances against the original TLBO and other meta-heuristic counterparts. |
| first_indexed | 2025-11-15T11:11:09Z |
| format | Article |
| id | upm-61927 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:11:09Z |
| publishDate | 2017 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-619272019-02-27T08:26:30Z http://psasir.upm.edu.my/id/eprint/61927/ Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites Zamli, Kamal Zuhari Din, Fakhrud Baharom, Salmi Ahmed, Bestoun S. The teaching learning-based optimization (TLBO) algorithm has shown competitive performance in solving numerous real-world optimization problems. Nevertheless, this algorithm requires better control for exploitation and exploration to prevent premature convergence (i.e., trapped in local optima), as well as enhance solution diversity. Thus, this paper proposes a new TLBO variant based on Mamdani fuzzy inference system, called ATLBO, to permit adaptive selection of its global and local search operations. In order to assess its performances, we adopt ATLBO for the mixed strength t-way test generation problem. Experimental results reveal that ATLBO exhibits competitive performances against the original TLBO and other meta-heuristic counterparts. Elsevier 2017-03 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/61927/1/Fuzzy%20adaptive%20teaching%20learning.pdf Zamli, Kamal Zuhari and Din, Fakhrud and Baharom, Salmi and Ahmed, Bestoun S. (2017) Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites. Engineering Applications of Artificial Intelligence, 59. pp. 35-50. ISSN 0952-1976; ESSN: 1873-6769 https://www.sciencedirect.com/science/article/pii/S095219761630241X 10.1016/j.engappai.2016.12.014 |
| spellingShingle | Zamli, Kamal Zuhari Din, Fakhrud Baharom, Salmi Ahmed, Bestoun S. Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites |
| title | Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites |
| title_full | Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites |
| title_fullStr | Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites |
| title_full_unstemmed | Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites |
| title_short | Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites |
| title_sort | fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites |
| url | http://psasir.upm.edu.my/id/eprint/61927/ http://psasir.upm.edu.my/id/eprint/61927/ http://psasir.upm.edu.my/id/eprint/61927/ http://psasir.upm.edu.my/id/eprint/61927/1/Fuzzy%20adaptive%20teaching%20learning.pdf |