Optimization of Vehicle Scheduling Within the Steel Enterprises Based on IAGSO Algorithm
At present,the vehicles in the steel enterprises of China mainly use the traditional one-to-one transportation of the trucks.The mode,which has low transportation efficiency,high transportation cost and long time to stop at the task node,affects the production process.To solve this,it is proposed to adopt the “trailer-semi-trailer cycle-to-carry transport mode in the factory,and establishes an integer programming model with the least number of tractors and total logistics cost,and then use the improved Glowworm Swarm Optimization algorithm to solve the model.The adaptive strategy improvement algorithm makes it increase its own search ability,and at the same time introduces the immune mechanism of Immune Algorithm,enhances the ability of the algorithm to jump out of local optimum,and finally tests through examples.The results show that the improved algorithm can quickly find a better scheduling scheme,thus guiding the enterprise to carry out the in-plant transportation reasonably and efficiently.
Swap trailer transport Glowworm Swarm Optimization Adaptive strategy Immune Algorithm
He-xu Sun Fan Zhao Zhaoming Lei
Hebei University of Technology,Tianjin 300000,China
国际会议
江苏镇江
英文
465-472
2019-09-20（万方平台首次上网日期，不代表论文的发表时间）