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Research on the Application of Improved Genetic Algorithm in Multi-vehicle Operation Scheduling of steel plant

机译:改进遗传算法在钢铁厂多车调度中的应用研究

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The crane is used in the workshop of steel mill to carry out the task of crane transportation, and can carry out large weight and multi-task. Because multiple cranes are on the same track, the crane leads to passive parking and forced parking, which leads to the reduction of production efficiency. In order to avoid the above phenomenon, reduce the conflict between cranes, speed up the task completion time to establish the crane scheduling model, analyze the defects of genetic algorithm, put forward the improved genetic algorithm and solve the crane model of steel plant. Through the analysis of the simulation results, the optimized crane scheduling results are obtained.
机译:该起重机在钢铁厂车间内用于完成起重机的运输任务,可以进行大重量,多任务的运输。由于多台起重机在同一轨道上,因此该起重机导致被动停车和强制停车,从而降低了生产效率。为了避免上述现象,减少起重机之间的冲突,加快任务完成时间,建立起重机调度模型,分析遗传算法的缺陷,提出改进的遗传算法,解决钢厂起重机模型。通过对仿真结果的分析,获得了优化的起重机调度结果。

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