Journal
COMPUTERS & STRUCTURES
Volume 169, Issue -, Pages 1-12Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2016.03.001
Keywords
Metaheuristic optimization; Crow search algorithm; Constrained engineering optimization
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This paper proposes a novel metaheuristic optimizer, named crow search algorithm (CSA), based on the intelligent behavior of crows. CSA is a population-based technique which works based on this idea that crows store their excess food in hiding places and retrieve it when the food is needed. CSA is applied to optimize six constrained engineering design problems which have different natures of objective functions, constraints and decision variables. The results obtained by CSA are compared with the results of various algorithms. Simulation results reveal that using CSA may lead to finding promising results compared to the other algorithms. (C) 2016 Elsevier Ltd. All rights reserved.
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