Firefly algorithm with generalised opposition-based learning
by Hui Wang; Wenjun Wang; Hui Sun
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 9, No. 4, 2015

Abstract: Firefly Algorithm (FA) is a new optimisation algorithm based on swarm intelligence, which has shown good performance on many optimisation problems. However, the standard FA easily falls into local minima because of too many attraction operations. To enhance the performance of the standard FA, a new FA is proposed in this paper. The new approach employs Generalised Opposition-Based Learning (GOBL) for population initialisation and generation jumping. To verify the performance of our approach, a set of benchmark functions tested in the experiments. Computational results show that the proposed approach obtains better performance than the standard FA and some recently proposed FA variants.

Online publication date: Sun, 03-Jan-2016

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