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- W2374073188 abstract "We construct a mathematical model of crew scheduling problem based on vehicle schedule plan and the goal of minimal cost to optimize transit crew scheduling problem and improve operation efficiency and resource utilization rate. We further employ genetic algorithm and optimization software LINGO to solve the model. Analysis result shows that the model is feasible and reasonable." @default.
- W2374073188 created "2016-06-24" @default.
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- W2374073188 date "2014-01-01" @default.
- W2374073188 modified "2023-09-25" @default.
- W2374073188 title "Minimum cost based transit crew scheduling optimization model" @default.
- W2374073188 hasPublicationYear "2014" @default.
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