An Effective Hybrid Firefly Algorithm with Harmony Search for Global Numerical Optimization

Abstract EN

A hybrid metaheuristic approach by hybridizing harmony search (HS) and firefly algorithm (FA), namely, HS/FA, is proposed to solve function optimization.

In HS/FA, the exploration of HS and the exploitation of FA are fully exerted, so HS/FA has a faster convergence speed than HS and FA.

Also, top fireflies scheme is introduced to reduce running time, and HS is utilized to mutate between fireflies when updating fireflies.

The HS/FA method is verified by various benchmarks.

From the experiments, the implementation of HS/FA is better than the standard FA and other eight optimization methods.