Abstract
In this work we introduce two new mechanisms for the Fish School Search algorithm in order to improve the search ability of its original and niching versions. Two modifications in the usual operators are proposed aiming to increase weight parameters reliability and also to include elitist behavior. Five benchmark optimization problems were employed to evaluate the effectiveness of the modifications proposed. We analyze the convergence curves and also the minimum mean fitness obtained by each version. The results show that the proposed mechanisms improved the convergence of the niching version of the Fish School Search algorithm.
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Filho, J.B.M., Albuquerque, I.M.C., Neto, F.B.L., Ferreira, F.V.S. (2017). Improved Search Mechanisms for the Fish School Search Algorithm. In: Madureira, A., Abraham, A., Gamboa, D., Novais, P. (eds) Intelligent Systems Design and Applications. ISDA 2016. Advances in Intelligent Systems and Computing, vol 557. Springer, Cham. https://doi.org/10.1007/978-3-319-53480-0_36
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DOI: https://doi.org/10.1007/978-3-319-53480-0_36
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