现代制造工程Issue(4)：102-109,8.DOI:10.16731/j.cnki.1671-3133.2017.04.020
基于HPCVRP的多目标热轧计划排程研究
Research on multi-objective hot milling planning based on HPCVRP
摘要
Abstract
Aiming at the high energy consumption caused by disregarding the change between the power consumption of slab,the hot milling planning was formulated as a hybrid multi-objective prize collecting vehicle routing problem(Hybrid Price Collect Vehicle Routing Problem,HPCVRP) model.The model considers minimum number of rolling plan,production process constrains,and energy consumption.Combine improved feasibility priority particle comparison criteria to select the best particle,and control the number of external files with update the global optimum algorithm by filter crowding distance and congestion vector mechanism for FMOPSO(Filter-MOPSO).The simulation results indicated that this algorithm could get good distributed Pareto optimal front.The proposed method has been applied in a hot mill line to verify its availability and feasibility by comparing the manual scheduling results,which provide decision support for hot milling planner in practical work assignments.关键词
热轧计划排程/过滤器/约束优化/多目标粒子群优化/Pareto最优解Key words
hot milling planning/filter/constrained optimization/MOPSO/Pareto optimization分类
矿业与冶金引用本文复制引用
王宸,杨洋,周学良,王生怀..基于HPCVRP的多目标热轧计划排程研究[J].现代制造工程,2017,(4):102-109,8.基金项目
湖北省自然科学基金项目(D2016CFB402) （D2016CFB402）
湖北省自然科学基金项目(2013CFB045) （2013CFB045）
湖北省教育厅重点项目(D20141802) （D20141802）
湖北省教育厅指导性项目(B2016084) （B2016084）
