2020
DOI: 10.1016/j.soildyn.2019.106012
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Optimum design of seismic isolation systems using metaheuristic search methods

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Cited by 29 publications
(12 citation statements)
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“…(ii) Worker bees modify designs in the memory as in Eq. (11). (11) Here, is a randomly selected NS and β p is a random value between -1 and 1.…”
Section: Artificial Bee Colony (Abc) Algorithmmentioning
confidence: 99%
See 2 more Smart Citations
“…(ii) Worker bees modify designs in the memory as in Eq. (11). (11) Here, is a randomly selected NS and β p is a random value between -1 and 1.…”
Section: Artificial Bee Colony (Abc) Algorithmmentioning
confidence: 99%
“…(11). (11) Here, is a randomly selected NS and β p is a random value between -1 and 1. Then the ABC computes the fitness values of the new designs and compares them with the old designs.…”
Section: Artificial Bee Colony (Abc) Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…Tsipianitis and Tsompanakis optimized the parameters of the base isolation system with liquid storage tanks, using the swarm intelligence (SI) algorithm and its derivatives [21]. Çerçevik et al investigated a seismically isolated shear frame with crow search algorithm (CSA), whale optimization (WOA), and gray wolf optimization (GWO) [22]. Etedali et al proposed a cuckoo search-based optimization (CSO) design to reduce the displacement and superstructure acceleration for base-isolated structures [23].…”
Section: Introductionmentioning
confidence: 99%
“…Several techniques have been applied to handle vibrations using metaheuristic algorithms to increase efficiency by maximizing the amplitude of the defect frequency [18]. They have also been applied to minimize the peak accelerations in the structural analysis of a seismic isolated frame [19]. Fiori de Castro H. et al [20] used the experimental responses of a rotary system and a metaheuristic hybrid algorithm to tune the magnitude of the unbalanced force, axial position, and phase.…”
Section: Introductionmentioning
confidence: 99%