Fireworks algorithm (FWA) with adaptation of parameters using fuzzy logic

Abstract

The main goal of this paper is to improve the performance of the fireworks algorithm (FWA). This improvement is based on fuzzy logic, which means we implemented different fuzzy inference systems into the FWA with the intent to convert parameters that were usually constant in dynamic parameters. After having studied the performance of the FWA, we concluded that two parameters are key of the performance the algorithm (FWA), the parameters that we comment are: the number of sparks and explosion amplitude of each firework, these parameters were adjusted using fuzzy logic, and this adjustment we called Fuzzy Fireworks Algorithm and we denoted as FzFWA. We can justify this adjustment of parameters with simulation results obtained in evaluating six mathematical benchmark functions.