关键词: 温度曲线, 热轧, 批次计划, 车辆路径问题, 鱼群寻觅粒子群算法

Abstract: Aiming at the high energy consumption caused by disregarding the changes of heating furnace's temperature in hot-rolling planning model,according to the productive technology features of hot-rolling,the hot-rolling batch planning was regarded as a Vehicle Route Problem (VRP) with uncertain rolling planning number.On this basis,the changing regularity of heating furnace temperature and the jump constraint of temperature between batches were considered,and a new mathematical model of rolling planning to minimize temperature jump penalty value as the main objective function was proposed.A fish seeking particle swarm algorithm was designed to solve the model.According to the practical hot-rolling batch planning problem of a steel enterprise,the proposed model and algorithm were verified,and the result showed that the rolling batch planning which considered the temperature curve could not only guide the production with the predetermined trend of temperature,but also be helpful for reducing energy consumption and extending the life of heating furnaces.Therefore,the proposed model and algorithm were effective and feasible.

Key words: temperature curve, hot-rolling, batch plan, vehicle route problem, fish seeking particle swarm algorithm