A PSO-based clustering algorithm for manufacturing cell design

摘要: Since the last years different metaheuristic methods have been used to solve clustering problems. This paper addresses problem of manufacturing Cell Formation using a modified particle swarm optimisation (PSO) algorithm. The main modification made original PSO algorithm consists on that in this work it is not vector velocities as standard does. proposed uses concept proportional likelihood with modifications, technique data mining techniques. Some simulations are presented and compared. criterion group machines cells based minimization inter-cell movements. computational results show able find optimal solutions almost all instances.