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Assessing the symbiotic organism search variants using standard benchmark functions

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 (Unpublished)

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Abstract

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.

Item Type: Conference or Workshop Item (Other)
Uncontrolled Keywords: Symbiotic Organism Search (SOS) parameter-less; Symbiotic organism
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 13 Nov 2019 01:52
Last Modified: 13 Nov 2019 01:52
URI: http://umpir.ump.edu.my/id/eprint/25428
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