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Modification of the Firefly Algorithm for Improving Solution Speed

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (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.

Keywords

Firefly algorithm Variability of random component Natural inspired optimization algorithm 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical EngineeringAGH-University of Science and TechnologyKrakowPoland

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