Improving the Performance of the Fish School Search Algorithm

Rodrigo P. Monteiro, Luiz F. V. Verçosa and Carmelo J. A. Bastos-Filho
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Rodrigo P. Monteiro: University of Pernambuco, Recife, Brazil
Luiz F. V. Verçosa: University of Pernambuco, Recife, Brazil
Carmelo J. A. Bastos-Filho: University of Pernambuco, Recife, Brazil

International Journal of Swarm Intelligence Research (IJSIR), 2018, vol. 9, issue 4, 21-46

Abstract: In this article, the authors propose a new version of Fish School Search Algorithm named FSS-CS. This release has three significant changes. First, it has an improved feeding mechanism to enhance the barycenter calculation. Secondly, it promotes exploration by using a state-of-art, non-greedy strategy. Finally, it incorporates a promising existent elliptic step decay. The authors assessed the proposal in ten benchmark optimization problems to evaluate the performance. The results show that the proposed version outperformed in most cases the FSS versions for mono-modal optimization.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jsir00:v:9:y:2018:i:4:p:21-46

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