Firefly Algorithm and Pattern Search Hybridized fo

Authors: Mahdiyeh Eslami Hussain Shareef Mohammad Khajehzadeh

Publish Date: 2013/7/28

Volume: , Issue: , Pages: 172-178

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Abstract

Firefly optimization algorithm is one of the latest swarm intelligence based optimization algorithm A new hybrid optimization algorithm which combines pattern search with firefly algorithm namely FAPS is proposed for numerical global optimization There are two alternative phases of the proposed algorithm the global exploration phase realized by firefly algorithm and the exploitation phase completed by pattern search The performance of the proposed FAPS algorithm was tested on a comprehensive set of benchmark functions The numerical experiments demonstrate that the new algorithm has high viability accuracy and stability and the performance of firefly algorithm is much improved by introducing a pattern search method

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