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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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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/42302/1/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
http://umpir.ump.edu.my/id/eprint/42302/
https://doi.org/10.1049/icp.2022.2576
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spelling my.ump.umpir.423022024-08-12T00:40:52Z http://umpir.ump.edu.my/id/eprint/42302/ Comparative study of fuzzy symbiotic organism search variants for pairwise test suite generation Nurul Asyikin, Zainal Kamal Zuhairi, Zamli QA75 Electronic computers. Computer science 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 to balance this exploration and exploitation to find the best solution. However, tuning these parameters is problematic as they are problem-dependent, and an improper tuning of these parameters undesirably increases computational efforts and yields sub-optimal solutions. Fuzzy Symbiotic Organism Search (FSOS) is among the latest parameter-less meta-heuristics algorithm created to solve optimization problems by having an adaptive exploration and exploitation based on the search need. As this new algorithm is dependent on a Fuzzy Inference System (FIS), the interest in investigating the fuzzy design choice in FSOS has emerged to make sure the choices of the Fuzzy Inference System in FSOS are capable of solving the general optimization problem without overfitting or underfitting. In this paper, we present the effects of different versions of fuzzy rules in the FSOS Fuzzy Inference System on the performance of FSOS. Experimental results demonstrate that the original FSOS with fuzzy rules that cover most of the antecedent combinations supersedes the other combination by 0.7% (FSOS1) and 0.3% (FSOS2). IET 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42302/1/Comparative%20study%20of%20fuzzy%20symbiotic%20organism%20search%20variants.pdf pdf en http://umpir.ump.edu.my/id/eprint/42302/2/Comparative%20study%20of%20fuzzy%20symbiotic%20organism%20search%20variants%20for%20pairwise%20test%20suite%20generation.pdf Nurul Asyikin, Zainal and Kamal Zuhairi, Zamli (2022) Comparative study of fuzzy symbiotic organism search variants for pairwise test suite generation. In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 91-96., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published) https://doi.org/10.1049/icp.2022.2576
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Nurul Asyikin, Zainal
Kamal Zuhairi, Zamli
Comparative study of fuzzy symbiotic organism search variants for pairwise test suite generation
description 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 to balance this exploration and exploitation to find the best solution. However, tuning these parameters is problematic as they are problem-dependent, and an improper tuning of these parameters undesirably increases computational efforts and yields sub-optimal solutions. Fuzzy Symbiotic Organism Search (FSOS) is among the latest parameter-less meta-heuristics algorithm created to solve optimization problems by having an adaptive exploration and exploitation based on the search need. As this new algorithm is dependent on a Fuzzy Inference System (FIS), the interest in investigating the fuzzy design choice in FSOS has emerged to make sure the choices of the Fuzzy Inference System in FSOS are capable of solving the general optimization problem without overfitting or underfitting. In this paper, we present the effects of different versions of fuzzy rules in the FSOS Fuzzy Inference System on the performance of FSOS. Experimental results demonstrate that the original FSOS with fuzzy rules that cover most of the antecedent combinations supersedes the other combination by 0.7% (FSOS1) and 0.3% (FSOS2).
format Conference or Workshop Item
author Nurul Asyikin, Zainal
Kamal Zuhairi, Zamli
author_facet Nurul Asyikin, Zainal
Kamal Zuhairi, Zamli
author_sort Nurul Asyikin, Zainal
title Comparative study of fuzzy symbiotic organism search variants for pairwise test suite generation
title_short Comparative study of fuzzy symbiotic organism search variants for pairwise test suite generation
title_full Comparative study of fuzzy symbiotic organism search variants for pairwise test suite generation
title_fullStr Comparative study of fuzzy symbiotic organism search variants for pairwise test suite generation
title_full_unstemmed Comparative study of fuzzy symbiotic organism search variants for pairwise test suite generation
title_sort comparative study of fuzzy symbiotic organism search variants for pairwise test suite generation
publisher IET
publishDate 2022
url 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
http://umpir.ump.edu.my/id/eprint/42302/
https://doi.org/10.1049/icp.2022.2576
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score 13.232414

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