The application of improved particle swarm optimization in slab stacking problem

This paper researches the problem of slab stacking, builds up a mathematical model with an objective of maximize the slab comprehensive matching degree, the stack utilization degree and the inventory balance degree jointly based on stack height limits constraints, slab delivery time constraints and stack dispersion constraints, etc. The PSO algorithm is applied and improved by evolution state assessment strategy in order to help the solution to jump out of the local optimal. The validity of the proposed solving algorithm is demonstrated by numerical simulation experiment from the production data in iron-steel enterprise.