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pro vyhledávání: '"Ricardo Fiorillo"'
Publikováno v:
Transportation Science. 50:366-389
We present a general optimization framework for locomotive models that captures different levels of detail, ranging from single and multicommodity flow models that can be solved using commercial integer programming solvers, to a much more detailed mu
Autor:
Clark Cheng, Coleman Lawrence, Belgacem Bouzaiene-Ayari, Sourav Das, Warren B. Powell, Ricardo Fiorillo
Publikováno v:
Interfaces. 44:567-578
For decades, locomotive planning has been approached using the classical tools of mathematical programming; the result has been very large-scale integer programming models that are beyond the capabilities of modern solvers but still require a host of
Autor:
Ricardo Fiorillo, Sourav Das, Warren B. Powell, Clark Cheng, Coleman Lawrence, Belgacem Bouzaiene-Ayari
Publikováno v:
2012 Joint Rail Conference.
Locomotive planning has been a popular application of classical optimization models for decades, but with very few success stories. There are a host of complex rules governing how locomotives should be used. In addition, it is necessary to simultaneo