Assessing the symbiotic organism search variants using standard benchmark functions

Symbiotic Organism Search (SOS) is one of the latest meta-heuristic algorithms created to solve optimization problems. Combining the fact that this new algorithm is parameter-less (no need for tuning) and having a superior performance compared with other meta-heuristic algorithms, the interest to in...

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Main Authors: Nurul Asyikin, Zainal, Fakhrud, Din, Kamal Z., Zamli
Format: Conference or Workshop Item
Language:English
English
Published: 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/25428/
http://umpir.ump.edu.my/id/eprint/25428/1/40.%20Assessing%20the%20symbiotic%20organism%20search%20variants.pdf
http://umpir.ump.edu.my/id/eprint/25428/2/40.1%20Assessing%20the%20symbiotic%20organism%20search%20variants.pdf
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author Nurul Asyikin, Zainal
Fakhrud, Din
Kamal Z., Zamli
author_facet Nurul Asyikin, Zainal
Fakhrud, Din
Kamal Z., Zamli
author_sort Nurul Asyikin, Zainal
building UMP Institutional Repository
collection Online Access
description Symbiotic Organism Search (SOS) is one of the latest meta-heuristic algorithms created to solve optimization problems. Combining the fact that this new algorithm is parameter-less (no need for tuning) and having a superior performance compared with other meta-heuristic algorithms, the interest to investigate and enhanced this algorithm had emerged. In this paper, we present a new version of SOS by looping the current algorithm rather than doing it one after the other. The target of this paper is to fmd the effect of changing the structure of algorithm from original SOS by testing it with a few benchmark functions. We found that by using a loop structure, it can find a better solution in some of the benchmarks functions as compared from the original SOS.
first_indexed 2025-11-15T02:38:42Z
format Conference or Workshop Item
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institution Universiti Malaysia Pahang
institution_category Local University
language English
English
last_indexed 2025-11-15T02:38:42Z
publishDate 2019
recordtype eprints
repository_type Digital Repository
spelling ump-254282019-11-13T01:52:10Z http://umpir.ump.edu.my/id/eprint/25428/ Assessing the symbiotic organism search variants using standard benchmark functions Nurul Asyikin, Zainal Fakhrud, Din Kamal Z., Zamli QA76 Computer software Symbiotic Organism Search (SOS) is one of the latest meta-heuristic algorithms created to solve optimization problems. Combining the fact that this new algorithm is parameter-less (no need for tuning) and having a superior performance compared with other meta-heuristic algorithms, the interest to investigate and enhanced this algorithm had emerged. In this paper, we present a new version of SOS by looping the current algorithm rather than doing it one after the other. The target of this paper is to fmd the effect of changing the structure of algorithm from original SOS by testing it with a few benchmark functions. We found that by using a loop structure, it can find a better solution in some of the benchmarks functions as compared from the original SOS. 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25428/1/40.%20Assessing%20the%20symbiotic%20organism%20search%20variants.pdf pdf en http://umpir.ump.edu.my/id/eprint/25428/2/40.1%20Assessing%20the%20symbiotic%20organism%20search%20variants.pdf Nurul Asyikin, Zainal and Fakhrud, Din and Kamal Z., Zamli (2019) Assessing the symbiotic organism search variants using standard benchmark functions. In: 3rd International Conference On Computational Science And Information Management (ICOCSIM2019) , 20 - 23 March 2019 , Aruna Senggiri Resort And Convention Hotel,Lombok. pp. 1-6.. (Unpublished) (Unpublished)
spellingShingle QA76 Computer software
Nurul Asyikin, Zainal
Fakhrud, Din
Kamal Z., Zamli
Assessing the symbiotic organism search variants using standard benchmark functions
title Assessing the symbiotic organism search variants using standard benchmark functions
title_full Assessing the symbiotic organism search variants using standard benchmark functions
title_fullStr Assessing the symbiotic organism search variants using standard benchmark functions
title_full_unstemmed Assessing the symbiotic organism search variants using standard benchmark functions
title_short Assessing the symbiotic organism search variants using standard benchmark functions
title_sort assessing the symbiotic organism search variants using standard benchmark functions
topic QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/25428/
http://umpir.ump.edu.my/id/eprint/25428/1/40.%20Assessing%20the%20symbiotic%20organism%20search%20variants.pdf
http://umpir.ump.edu.my/id/eprint/25428/2/40.1%20Assessing%20the%20symbiotic%20organism%20search%20variants.pdf