Application of A Hybrid Particle Swarm Optimization Algorithm to Dynamic Holon Reconfiguring Problem

In this paper, dynamic re-configuration and task optimization of holonic manufacturing system (HMS) model is put forward. The concept of dynamic virtual clustering is extended to the control process of a holarchy or holonic organization. A task-oriented clustering mechanism and a corresponding optimization algorithm are presented as an efficient approach to the holonic control in HMS domain. A hybrid algorithm based on PSO for holon task allocation is described to support the optimum organization of a holarchy. Convergence property of PSO is analyzed to guide the parameter selection of it. The simulation results show that the proposed model and algorithm are effective