Paper title: FIREFLY ALGORITHM IMPROVEMENT WITH APPLICATION TO INDUCTION MACHINE PARAMETERS IDENTIFICATION
Author(s): NAAS DIF, ELGHALIA BOUDISSA, MHAMED BOUNEKHLA, ISMAIL DIF,
Abstract: Firefly algorithm is one of a nature-inspired optimization algorithm. It was based on the behaviour of tropical fireflies. In the
original version, every firefly movement is based on the brightness of the other one. In this paper, we have introduced an
improvement of the original firefly algorithm in order to intensify the search in the closest area and also to increase the ability of
finding the quasi optimal solution. To enhance firefly’s movement, it is proposed to orient firefly’s movement to the global
centroid of the swarm if there was not any better location around them. Firstly, the proposed algorithm was tested on some
standard functions that have ever used for testing the optimization algorithms. Secondly, it was applied to estimate
simultaneously the electrical and mechanical parameters of a three-phase induction machine based only on the starting current
and the corresponding phase voltage. The results show the superiority of the proposed algorithm versus the original firefly
algorithm.
Keywords: Centroid of swarm, Induction machine, Firefly algorithm, Improved firefly algorithm, Metaheuristic, Optimization Year: 2020 | Tome: 65 | Issue: 1-2 | Pp.: 35-40
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