Sea Lion Optimization Algorithm

This paper suggests a new nature inspired metaheuristic optimization algorithm which is called Sea Lion Optimization (SLnO) algorithm. The SLnO algorithm imitates the hunting behavior of sea lions in nature. Moreover, it is inspired by sea lions' whiskers that are used in order to detect the pr...

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Bibliographic Details
Published in:International journal of advanced computer science & applications 2019, Vol.10 (5)
Main Authors: Masadeh, Raja, A., Basel, Sharieh, Ahmad
Format: Article
Language:English
Subjects:
Algorithms
Heuristic methods
Optimization algorithms
Particle swarm optimization
Trigonometric functions
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Summary:This paper suggests a new nature inspired metaheuristic optimization algorithm which is called Sea Lion Optimization (SLnO) algorithm. The SLnO algorithm imitates the hunting behavior of sea lions in nature. Moreover, it is inspired by sea lions' whiskers that are used in order to detect the prey. SLnO algorithm is tested with 23 well-known test functions (Benchmarks). Optimization results show that the SLnO algorithm is very competitive compared to Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), Grey Wolf Optimization (GWO), Sine Cosine Algorithm (SCA) and Dragonfly Algorithm (DA).
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2019.0100548