Estimation of particle swarm distribution algorithms
Chang Wook Ahn, Hyun-Tae Kim · 2009
This paper presents a framework of estimation of particle swarm distribution algorithms (EPSDAs). The aim lies in effectively combining particle swarm optimization (PSO) with estimation of distribution algorithms (EDAs) without losing on their unique features. To exhibit its practicability, an extended compact particle swarm optimization (EcPSO) is developed along the lines of the suggested framework. Empirical results have adduced grounds for its effectiveness.