Gbest-guided Artificial Chemical Reaction Algorithm for global numerical optimization

Abstract

Chemical reaction(ACR) optimization algorithm invented recently by Bilal Alatas is a heuristics algorithm. However, there is still an insufficiency in ACR algorithm regarding its solution search equation, which is good at exploration but poor at exploitation. Inspired by Particle swarm optimization, we propose an improved ACR algorithm called gbest-guided ACR (GACR) algorithm by incorporating the information of global best (gbest) solution into the solution search equation to improve the exploitation. The experimental results tested on a set of numerical benchmark functions show that GACR algorithm can outperform ACR algorithm in most of the experiments