A Brain Storm and Chaotic Accelerated Particle Swarm Optimization Hybridization

Brain storm optimization (BSO) and particle swarm (PSO) are two popular nature-inspired algorithms, with BSO being the more recently developed one. It has been observed that an advantage over PSO regarding exploration a random initialization, while is capable at local exploitation if given predetermined initialization. The algorithms have also examined as hybrid. In this work, algorithm was hybridized chaotic accelerated (CAPSO) in order to investigate how such approach could serve improvement stand-alone algorithms. CAPSO advantageous variant of APSO, accelerated, exploitative minimalistic algorithm. We initialized study potential benefits from BSO’s initial well CAPSO’s speed. Seven benchmarking functions were used compare algorithms’ behavior. chosen included both unimodal multimodal various complexities sizes search areas. tested for different numbers dimensions. results showed properly tuned BSO–CAPSO hybrid be significantly beneficial BSO, especially respect computational time, it heavily outperformed vast majority cases.