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为提高炼钢-连铸作业计划编制中资源配置的有效性,提出了一种面向生产流程动态网络的自组织资源配置蚁群算法.炼钢-连铸作业计划以最小化炉次作业冲突时间和作业前等待时间、尽早安排连铸机开浇时间为目标,以连铸机连浇等工艺要求为约束条件建立模型,按生产流程网络结构的时空逆序关系设计了蚁群求解算法.利用某钢厂实际生产作业计划数据进行的算法验证结果表明:模型及算法能迅速得到高质量的可执行炼钢-连铸生产作业计划.
In order to improve the efficiency of resource allocation in the preparation of steelmaking-continuous casting operation planning, a self-organizing resource allocation ant colony optimization (ACO) algorithm is proposed for the production process dynamic network. Steelmaking-continuous casting And pre-job waiting time, as early as possible to arrange casting machine pouring time as the goal, continuous casting machine with continuous casting process requirements as the constraints to establish a model, according to the production process network structure of the ant colony algorithm to solve the spatio- The results of the algorithm validation of the actual production planning data show that the models and algorithms can quickly obtain high-quality executable steel-continuous casting production planning.