北京科技大学学报Issue(1)：115-122,8.DOI:10.13374/j.issn1001-053x.2014.01.018
基于遗传算法的炼钢--连铸重计划方法
Production re-planning based on genetic algorithm for steelmaking-continuous casting
摘要
Abstract
An approach, whose hardcore is a classification of charges by determining whether the charge starts at the time of disturbance occurrence, of making a re-plan was proposed to solve the problem of multi-constrained steelmaking-continuous casting re-planning. The constraints of the re-planning problem are divided into hard and soft constraints. A hybrid algorithm based on time forward inferring and genetic algorithm is designed for the processing charges, and another hybrid algorithm based on time backward inferring and genetic algorithm is designed for the un-processing charges. The feasible solution of the re-planning problem is solved with the hybrid algorithm and hard constraints, and the optimal solution is searched with the soft constraints in the feasible solution. The feasibility and effectiveness of the method were verified with the help of simulation experiments by production data in a steel plant.关键词
炼钢/连铸/生产计划/调度/遗传算法Key words
steelmaking/continuous casting/production planning/scheduling/genetic algorithms分类
计算机与自动化引用本文复制引用
龙建宇,郑忠,高小强,龚永民,呼万哲..基于遗传算法的炼钢--连铸重计划方法[J].北京科技大学学报,2014,(1):115-122,8.基金项目
国家高技术研究发展计划资助项目(2007AA04Z161) （2007AA04Z161）
国家自然科学基金资助项目(50574110,50174061) （50574110,50174061）
重庆市科技攻关重点项目(CSTC2011AB3053) （CSTC2011AB3053）
