2022
DOI: 10.1186/s40069-022-00517-9
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A Hybrid Particle Swarm Optimization with Dragonfly for Adaptive ANFIS to Model the Corrosion Rate in Concrete Structures

Abstract: The use of reinforced concrete is common in marine structures. Failure of reinforcement due to corrosion has detrimental impacts on nearly all of these structures. Hence, proposing an accurate and reliable model was imperative. The goal of this paper is to develop a new hybrid model by combining Particle Swarm Optimization (PSO) with Dragonfly Algorithm (DA) for Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict the corrosion current density (C11) of marine reinforced concrete. The neuro-fuzzy-based meth… Show more

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Cited by 5 publications
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“…In recent years, many studies has have been done for USV flight path planning and swarm intelligence algorithm has been popularly used, including particle swarm optimization (PSO) (Xin et al, 2019 ; Krell et al, 2022 ), artificial fish swarm algorithm (Zhao et al, 2022 ), ant colony algorithm (Wang et al, 2022 ), genetic algorithm (GA) (Park et al, 2021 ), and etc. Among these intelligent algorithms, particle swarm optimization is the most widely used in the field of automatic control because of its simple principle, fewer parameters, fast optimization speed, small amount of calculation and other advantages (Khayati et al, 2019 ). At present, the application of particle swarm optimization algorithm in robot path planning is very active (Chen and Sun, 2021 ; Wu et al, 2022 ; Xiao et al, 2022 ), but the research on USV flight path planning is still a frontier field.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, many studies has have been done for USV flight path planning and swarm intelligence algorithm has been popularly used, including particle swarm optimization (PSO) (Xin et al, 2019 ; Krell et al, 2022 ), artificial fish swarm algorithm (Zhao et al, 2022 ), ant colony algorithm (Wang et al, 2022 ), genetic algorithm (GA) (Park et al, 2021 ), and etc. Among these intelligent algorithms, particle swarm optimization is the most widely used in the field of automatic control because of its simple principle, fewer parameters, fast optimization speed, small amount of calculation and other advantages (Khayati et al, 2019 ). At present, the application of particle swarm optimization algorithm in robot path planning is very active (Chen and Sun, 2021 ; Wu et al, 2022 ; Xiao et al, 2022 ), but the research on USV flight path planning is still a frontier field.…”
Section: Introductionmentioning
confidence: 99%