Open AccessAssessing the Symbiotic Organism Search Variants using Standard Benchmark Functions
Author(s) -
Nurul Asyikin Zainal,
Fakhrud Din,
Kamal Z. Zamli
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1830/1/012014
Subject(s) - benchmark (surveying) , heuristic , computer science , meta heuristic , algorithm , search algorithm , optimization algorithm , mathematical optimization , artificial intelligence , mathematics , geodesy , geography
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 find the effect of changing the structure of algorithm from the original SOS using selected benchmark functions. Our findings indicate that using a loop structure can improve the solution in some of the benchmarks functions as compared to the original SOS.