A variable step size firefly algorithm for numerical optimization

Shuhao Yu, Shenglong Zhu, Yan Ma and Demei Mao

Applied Mathematics and Computation, 2015, vol. 263, issue C, 214-220

Abstract: Firefly algorithm is a novel nature-inspired optimization algorithm, which has been demonstrated to perform well on various numerical optimization problems. However, in standard firefly algorithm, it adopted the fixed step size throughout all iterations. This will result in the algorithm easily getting trapped in the local optima and causing low precision. In order to remedy this defect, we use a variable strategy for step size setting. The results show that the proposed algorithm enhances the performance of the standard firefly algorithm.

Keywords: Firefly algorithm; Variable step size; Local optima; Numerical optimization (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:263:y:2015:i:c:p:214-220

DOI: 10.1016/j.amc.2015.04.065

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