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Modification of the Firefly Algorithm for Improving Solution Speed

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Advanced, Contemporary Control

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1196))

Abstract

The demand for fast and intelligent optimization methods is constantly growing. Owing to this, new methods based on the behaviour of living organisms are being developed. This article proposes a modification of the classic firefly algorithm based on the acceptance of each movement of a firefly, that provide more accurate values of an objective function. In addition, the algorithm also involves a reduced value of a coefficient, α, in each of its iterations. The effectiveness of the modification is examined using typical test functions. The modification allows for finding the correct solution faster and more accurately. This improvement is achieved at the expense of the algorithm’s sensitivity to a selection parameter, αdamp, which affects the speed at which the value of α decreases.

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Authors and Affiliations

  1. Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH-University of Science and Technology, 30-059, Krakow, Poland

    Ryszard Klempka

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  1. Ryszard Klempka
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Correspondence to Ryszard Klempka .

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Editors and Affiliations

  1. Institute of Automatic Control, Lodz University of Technology, Lodz, Poland

    Andrzej Bartoszewicz

  2. Institute of Automatic Control, Lodz University of Technology, Lodz, Poland

    Jacek Kabziński

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Klempka, R. (2020). Modification of the Firefly Algorithm for Improving Solution Speed. In: Bartoszewicz, A., Kabziński, J., Kacprzyk, J. (eds) Advanced, Contemporary Control. Advances in Intelligent Systems and Computing, vol 1196. Springer, Cham. https://doi.org/10.1007/978-3-030-50936-1_10

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