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- W2377957573 abstract "Referring to the existing literature,marshalling yards layout optimization was studied mostly through enumerating and comparing alternate schemes,however,the effectiveness of the alternate schemes are difficult to be verified when large-scale problems are faced.In order to deal with the above-mentioned issue,in this paper,the marshalling yards reclassification capacity and shunting line capacity expansion decision variables were designed,the marshalling yards reclassification capacity configuration optimization model(MYRCCOM)was constructed,and the model improvement strategy was put forward.The constraints of model were transformed loosely.As the solution strategy,preference was given to arranging through traffic and car flow reclassification plans were deduced secondly.Infeasible car flows were described by loss costs and three heuristic algorithms were used to find the solution of the model.Case study shows as follows:The combined effect of the particle swarm algorithm and sufficient conditions is optimum;the model can determine the marshalling yards reclassification capacity expansion plan accurately;marshalling yards loading status can be evaluated by car flow organization plans;suggestions can be made to eliminate irrational practices." @default.
- W2377957573 created "2016-06-24" @default.
- W2377957573 creator A5047025460 @default.
- W2377957573 date "2013-01-01" @default.
- W2377957573 modified "2023-09-23" @default.
- W2377957573 title "Railway Marshalling Yards Reclassification Capacity Configuration Optimization Model" @default.
- W2377957573 hasPublicationYear "2013" @default.
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