2018
DOI: 10.1016/j.engstruct.2017.12.037
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A novel bat algorithm based optimum tuning of mass dampers for improving the seismic safety of structures

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Cited by 110 publications
(36 citation statements)
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“…The bat algorithm (BA), as an optimization method, is based on living bats and the powerful ability of bats to receive sounds from their surroundings. It is used widely in different fields of image processing [27], data sensing systems [28], the determination of the seismic safety of structures [29], the design of wireless sensors [30], and water resource management [31]. However, the algorithm has some weaknesses, such as the probability of being trapped in the local optimums and slow convergence in some complex engineering problems, so it is necessary to modify the BA.…”
Section: Innovation and Objectivesmentioning
confidence: 99%
“…The bat algorithm (BA), as an optimization method, is based on living bats and the powerful ability of bats to receive sounds from their surroundings. It is used widely in different fields of image processing [27], data sensing systems [28], the determination of the seismic safety of structures [29], the design of wireless sensors [30], and water resource management [31]. However, the algorithm has some weaknesses, such as the probability of being trapped in the local optimums and slow convergence in some complex engineering problems, so it is necessary to modify the BA.…”
Section: Innovation and Objectivesmentioning
confidence: 99%
“…Metaheuristic algorithms prove their effectivity in solving complex optimization cases and therefore draw significant interest from the research community in their applications to various design problems [4][5][6]. Particle Swarm Optimization [7], Differential Evolution [8], and Harmony Search [9] algorithms are the prevalent examples of the metaheuristic optimizers.…”
Section: Introductionmentioning
confidence: 99%
“…These researches may date back to Den Hartog, such as simplified expressions for optimum TMD parameters of undamped/damped systems considering various combinations of responses (e.g., displacement, velocity, acceleration, and force) and excitations (e.g., harmonic and white noise random excitations; Chung et al 2013). On the other hand, the metaheuristic optimization methods have been utilized in the design of the TMD …”
Section: Introductionmentioning
confidence: 99%