Intelligent optimization of locomotive scheduling for multi-mode transportation on ironmaking and steelmaking interface
In the current research of locomotive scheduling on the one-ladle technology on ironmaking and steelmak-ing interface,the multi-ladle transportation task has insufficient overall optimization ability,such as supply and demand matching,transportation path selection,and the transportation mode of the ladles,which limits the optimiza-tion of locomotive scheduling.In order to reduce the number of locomotives used,the empty-loaded rate of locomo-tives and the cost of locomotive transportation,on the premise of ensuring the demand of empty ladles for blast fur-nace tapping and the demand of heavy ladles in various steelmaking plants,a locomotive scheduling's mathematical model which takes the minimized multi-mode locomotive transportation cost as an optimization object is established by taking the transportation path characteristics,the types of ladles,the locomotive transportation capacity,the transportation mode of the ladles,the combined transportation time of the ladles and the safe time window of the locomotive into consideration,and a hybrid genetic algorithm combining genetic algorithm and Dijkstra algorithm is designed to solve the model,which realizes the rapid optimization of locomotive scheduling and transportation route under multi-ladle mode.The simulation experiment results based on the actual production data of an enterprise within 12 h show that the mathematical model and solution algorithm of locomotive dispatching plan can work out a reasonable locomotive scheduling plan within 7 min.Compared with the traditional ant colony optimization algo-rithm,the hybrid genetic algorithm has faster convergence speed,the number of locomotives is reduced from 17 to 16,the number of locomotive transportation tasks is reduced by 2.94%,and the empty-loaded rate is reduced by 4.59%.Compared with the actual production,the number of locomotives used is reduced from 18 to 16,the num-ber of locomotive transportation tasks is reduced by 10.81%,and the empty-loaded rate is reduced by 35.43%.This method can effectively reduce the cost of locomotive transportation,reduce the influence of different locomotive dispatchers'personal experience on the rationality of locomotive scheduling scheme preparation,and reduce the diffi-culty and workload of dispatchers in optimizing locomotive scheduling.
one-ladle technologylocomotive schedulingdifferent ladle transfer modeshybrid genetic algorithmironmaking and steelmaking interface
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