2023
DOI: 10.11591/ijece.v13i4.pp4317-4338
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Rhizostoma optimization algorithm and its application in different real-world optimization problems

Abstract: <p>In last decade, numerous meta-heuristic algorithms have been proposed for dealing the complexity and difficulty of numerical optimization problems in the realworld which is growing continuously recently, but only a few algorithms have caught researchers’ attention. In this study, a new swarm-based meta-heuristic algorithm called Rhizostoma optimization algorithm (ROA) is proposed for solving the optimization problems based on simulating the social movement of Rhizostoma octopus (barrel jellyfish) in t… Show more

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“…Therefore, in line with this concept, our study's primary contribution revolves around the innovative integration of PSO with the trailing mode of SAO, resulting in an improved performance. To evaluate its robustness, we follow standard benchmark procedures [28] and assess the PSO-SAO algorithm across 37 standard benchmark test functions [29], comparing it to the original PSO and SAO algorithms. The remainder of this paper is structured as follows: Section 2 details the proposed PSO-SAO algorithm, Section 3 presents the results and discussions, and Section 4 provides the paper's concluding remarks.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, in line with this concept, our study's primary contribution revolves around the innovative integration of PSO with the trailing mode of SAO, resulting in an improved performance. To evaluate its robustness, we follow standard benchmark procedures [28] and assess the PSO-SAO algorithm across 37 standard benchmark test functions [29], comparing it to the original PSO and SAO algorithms. The remainder of this paper is structured as follows: Section 2 details the proposed PSO-SAO algorithm, Section 3 presents the results and discussions, and Section 4 provides the paper's concluding remarks.…”
Section: Introductionmentioning
confidence: 99%