2010
DOI: 10.1016/j.jcsr.2009.07.006
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Optimal seismic design of steel structures by an efficient soft computing based algorithm

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Cited by 48 publications
(18 citation statements)
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“…From this figure a wide range of models have a good consistency with Eq. (11). It can be observed that the error of Eq.…”
Section: Data Processingmentioning
confidence: 93%
See 1 more Smart Citation
“…From this figure a wide range of models have a good consistency with Eq. (11). It can be observed that the error of Eq.…”
Section: Data Processingmentioning
confidence: 93%
“…They operate as black box, model-free, and adaptive tools to capture and learn significant structures in data. Their computing abilities have been proven in the fields of prediction and estimation, pattern recognition, and optimization [8][9][10][11]. They are suitable particularly for problems too complex to be modeled and solved by classical mathematics and traditional procedures.…”
Section: Introductionmentioning
confidence: 99%
“…As a summary, Li et al . () and Gholizadeh and Salajegheh () have hybridized PSO by other meta‐heuristics, while Seyedpoor et al . () and Plevris and Papadrakakis () have combined PSO by gradient‐based algorithms.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast, heuristic search algorithms are particularly effective for solving practical steel design optimization problems. These algorithms include simulated annealing [5], genetic algorithm (GA) [6], tabu search [7], particle swarm optimization [8], and ant colony optimization [9].…”
Section: Introductionmentioning
confidence: 99%