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:	QA76 Computer software
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

id	ump-25428
recordtype	eprints
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)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Nurul Asyikin, Zainal Fakhrud, Din Kamal Z., Zamli Assessing the symbiotic organism search variants using standard benchmark functions
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.
format	Conference or Workshop Item
author	Nurul Asyikin, Zainal Fakhrud, Din Kamal Z., Zamli
author_facet	Nurul Asyikin, Zainal Fakhrud, Din Kamal Z., Zamli
author_sort	Nurul Asyikin, Zainal
title	Assessing the symbiotic organism search variants using standard benchmark functions
title_short	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_sort	assessing the symbiotic organism search variants using standard benchmark functions
publishDate	2019
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
first_indexed	2023-09-18T22:39:02Z
last_indexed	2023-09-18T22:39:02Z
_version_	1777416790608969728

Assessing the symbiotic organism search variants using standard benchmark functions

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