Abstract
Purpose This paper aims to propose a novel nature-inspired optimization algorithm, called whirlpool algorithm (WA), which imitates the physical phenomenon of whirlpool. Design/methodology/approach The idea of this algorithm stems from the fact that the whirlpool has a descent direction and a vertex. Findings WA is tested with two types of models: 29 typical mathematical optimization models and three engineering problems (tension/compression spring design, welded-beam design, pressure vessel design). Originality/value The results shown that the WA is vying compared to the state-of-art algorithms likewise conservative approaches.
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