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针对炼钢连铸生产调度计划的可执行性要求,考虑到生产中的设备选择及作业时间的不确定性问题,提出一种利用任务可执行设备的加工权重赋值方法来量化描述现实生产中加工设备间的匹配关系,并以设备选择优先级策略的形式引入遗传算法的交叉、变异过程,按照生成可行解、再进行种群优化的分步决策方式形成混合遗传算法.以某炼钢厂的实际生产调度数据为例进行仿真实验,其结果表明了所提出算法的有效性.
In view of the enforceability requirements of the scheduling plan of steel-making and continuous casting production, taking into account the uncertainty of equipment selection and working time in production, a method of processing weight assignment using task-executable equipment is proposed to quantitatively describe the actual processing Equipment matching, and introduces the crossover and mutation process of genetic algorithm in the form of equipment selection priority strategy, and forms a hybrid genetic algorithm according to the step-by-step decision-making method of generating feasible solutions and then population optimization.With the practice of a steel mill Production scheduling data as an example, the simulation results show that the proposed algorithm is effective.