This paper presents an attempt to transform PSO into a self-adaptive algorithm based on specific swarm-inspired operators. New features are introduced: spatial expansion intended to overcome premature convergence (an algorithm called Improved PSO, IPSO) and auto-adaptation (an algorithm called Adaptive PSO, APSO). Experiments show that APSO and IPSO outperform the basic PSO on benchmark problems, proving their efficiency especially on multimodal functions.
This article is authored also by Synbrain data scientists and collaborators. READ THE FULL ARTICLE