2022
DOI: 10.1016/j.istruc.2022.02.039
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Optimal design of Magnetorheological damper for seismic response reduction of Base-Isolated structures considering Soil-Structure interaction

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Cited by 26 publications
(13 citation statements)
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“…The particle swarm optimization (PSO) algorithm introduced by Kennedy and Eberhart 59 has been widely known as an efficient algorithm in the optimization problem of structures. [60][61][62] PSO was discovered through the social behavior of birds in a swarm. The optimum solution as food can be found by iteratively moving particles toward the solution.…”
Section: Particle Swarm Optimization Algorithmmentioning
confidence: 99%
“…The particle swarm optimization (PSO) algorithm introduced by Kennedy and Eberhart 59 has been widely known as an efficient algorithm in the optimization problem of structures. [60][61][62] PSO was discovered through the social behavior of birds in a swarm. The optimum solution as food can be found by iteratively moving particles toward the solution.…”
Section: Particle Swarm Optimization Algorithmmentioning
confidence: 99%
“…All the semi-active devices presented above had been also used with base isolation [ 199 , 200 , 201 ], CBC control [ 202 , 203 ], and ABS control [ 204 ].…”
Section: Active Controlmentioning
confidence: 99%
“…So far, several metaheuristic algorithms have been introduced, such as charged system search (CSS), colliding bodies optimization (CBO), vibrating particle system (VPS) [34], ant colony optimization (ACO) [36], grasshopper optimization algorithm (GOA) [37], and so on. Recently, the particle swarm optimization algorithm was used to optimize the magneto-rheological (MR) damper parameters [38].…”
Section: Introductionmentioning
confidence: 99%