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Improving the Performance of the Fish School Search Algorithm

Author

Listed:
  • 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)

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.

Suggested Citation

  • Rodrigo P. Monteiro & Luiz F. V. Verçosa & Carmelo J. A. Bastos-Filho, 2018. "Improving the Performance of the Fish School Search Algorithm," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 9(4), pages 21-46, October.
    • Handle: RePEc:igg:jsir00:v:9:y:2018:i:4:p:21-46
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