Hybridized Fireworks Algorithm for Global Optimization

In this paper we introduce hybridized fireworks algorithm for global optimization problems. We replaced Gaussian search method from the original fireworks algorithm with the search equation adopted from the firefly algorithm. To test our approach, we implemented six standard bound-constrained benchmarks and performed comparative analysis with the basic fireworks algorithm, as well as with two other metaheuristics. We conducted two tests. In the experiments, all algorithms were tested with the same number of function evaluations. Preliminary results show that our algorithm has a potential when dealing with such problems and it is worth of further research. Key–Words: Swarm intelligence, global optimization, hybridized algorithms, fireworks algorithm, firefly algorithm