Comparative study of fuzzy symbiotic organism search variants for pairwise test suite generation

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Comparative study of fuzzy symbiotic organism search variants for pairwise test suite generation

Metaheuristic algorithms have been utilized for the past 30 years as a core in solving complex optimization problems because of their ability to explore (i.e., roaming the entire search space) and exploit (i.e., searching around the neighbourhood). Most of these algorithms rely on parameter control...

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Bibliographic Details
Main Authors:	Nurul Asyikin, Zainal, Kamal Zuhairi, Zamli
Format:	Conference or Workshop Item
Language:	English English
Published:	IET 2022
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/42302/ http://umpir.ump.edu.my/id/eprint/42302/1/Comparative%20study%20of%20fuzzy%20symbiotic%20organism%20search%20variants.pdf http://umpir.ump.edu.my/id/eprint/42302/2/Comparative%20study%20of%20fuzzy%20symbiotic%20organism%20search%20variants%20for%20pairwise%20test%20suite%20generation.pdf

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