PSO-based Production Line Buffer Capacity Allocation Technology
LIU Jun
MA Chao
Abstract：For serial line disturbed by random events,an analysis method of multi-population particle swarm optimization is proposed to deal with buffer capacity allocation problem with an objective of maximum productivity for a buffer capacity fixed.A cer?tain number of particle swarms are equally divided into multiple populations which evolve in a rule with the ω linear decreasing strategy. Particle swam optimizers of populations are endowed with different inertia weight and the cooperative coevolution is achieved with immigration operator,which keeps evolution independence and cooperativeness of populations. Numerical results shows that the method is better than traditional algorithms in convergence precision,robustness,local search capability and can ob?tain global optimal solution in less iterations when it is used for small and large-scale production line system and it also shows re?markable result for overcoming premature convergence.
Keywords：particle swarm optimization algorithmbuffer capacity allocationserial linemulti-population
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 465-470,484 )