摘要
基于钢铁企业生产模式多样、多座高炉、混铁炉与转炉并行生产、出铁罐数不同的特点,同时考虑检修计划对铁水调度的影响,本文建立了以铁水罐次到达转炉前时间与目标冶炼时间总差值最小为目标的调度模型。使用基于均匀交叉和插入变异策略的遗传算法对此问题在混合生产模式下进行求解。实验结果表明,本文所提出的算法在能够在短时间求解高质量解,解决了混合生产模式下调度约束复杂、调度难度大的问题。
Based on the characteristics of various production modes,multiple blast furnaces,parallel production of mixing furnace and converter,and different number of iron pots,and considering the influence of maintenance plan on molten iron scheduling,a scheduling model with the minimum total difference between the time of molten iron reaching the converter and the target smelting time was established.The genetic algorithm based on uniform crossover and insertion mutation strategy was used to solve the problem in the mixed production mode.The experimental results show that the proposed algorithm can solve the problem of high quality solution in a short time,and solve the problem of complex scheduling constraints and difficulty in the mixed production mode.
作者
赵博涛
ZHAO Bo-tao(School of Management Science and Engineering,Anhui University of Technology,Maanshan 243032,China)
出处
《价值工程》
2024年第15期37-39,共3页
Value Engineering
关键词
铁水调度
检修计划
混合生产模式
遗传算法
molten iron scheduling
overhaul plan
mixed production model
genetic algorithm
