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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: Institution of Engineering and Technology 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Online Access:http://umpir.ump.edu.my/id/eprint/42000/1/Comparative%20study%20of%20fuzzy%20symbiotic%20organism%20search%20variants.pdf
http://umpir.ump.edu.my/id/eprint/42000/2/Comparative%20study%20of%20fuzzy%20symbiotic%20organism%20search%20variants%20for%20pairwise%20test%20suite%20generation_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42000/
https://doi.org/10.1049/icp.2022.2576
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Internet

http://umpir.ump.edu.my/id/eprint/42000/1/Comparative%20study%20of%20fuzzy%20symbiotic%20organism%20search%20variants.pdf
http://umpir.ump.edu.my/id/eprint/42000/2/Comparative%20study%20of%20fuzzy%20symbiotic%20organism%20search%20variants%20for%20pairwise%20test%20suite%20generation_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42000/
https://doi.org/10.1049/icp.2022.2576

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