Symbiotic organisms search algorithm: Theory, recent advances and applications

•Exhaustive study of the classical symbiotic organisms search algorithm.•A systematic review of symbiotic organisms search algorithm variants and hybrid algorithms.•Presentation of the various application areas of SOS algorithm.•Suggestions for further development and possible areas of improvement.•...

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Veröffentlicht in:Expert systems with applications Jg. 119; S. 184 - 209
Hauptverfasser: Ezugwu, Absalom E., Prayogo, Doddy
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Elsevier Ltd 01.04.2019
Elsevier BV
Schlagworte:
Algorithms
Design engineering
Design modifications
Heuristic methods
Metaheuristic algorithms
Optimization
Organisms
Search algorithms
Swarm intelligence
Symbiosis
Symbiotic organisms search algorithm
Swarm intelligence
Symbiotic organisms search algorithm
Optimization
Metaheuristic algorithms
ISSN:0957-4174, 1873-6793
Online-Zugang:Volltext
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Zusammenfassung:•Exhaustive study of the classical symbiotic organisms search algorithm.•A systematic review of symbiotic organisms search algorithm variants and hybrid algorithms.•Presentation of the various application areas of SOS algorithm.•Suggestions for further development and possible areas of improvement.•Recommendations for novel application areas for the SOS algorithm. The symbiotic organisms search algorithm is a very promising recent metaheuristic algorithm. It has received a plethora of attention from all areas of numerical optimization research, as well as engineering design practices. it has since undergone several modifications, either in the form of hybridization or as some other improved variants of the original algorithm. However, despite all the remarkable achievements and rapidly expanding body of literature regarding the symbiotic organisms search algorithm within its short appearance in the field of swarm intelligence optimization techniques, there has been no collective and comprehensive study on the success of the various implementations of this algorithm. As a way forward, this paper provides an overview of the research conducted on symbiotic organisms search algorithms from inception to the time of writing, in the form of details of various application scenarios with variants and hybrid implementations, and suggestions for future research directions.
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ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2018.10.045