New Heuristics to Solve the "CSOP" Railway Timetabling Problem

نویسندگان

  • Laura Paola Ingolotti
  • Antonio Luis Lova
  • Federico Barber
  • María Pilar Tormos
  • Miguel A. Salido
  • Montserrat Abril
چکیده

The efficient use of infrastructures is a hard requirement for railway companies. Thus, the scheduling of trains should aim toward optimality, which is an NP-hard problem. The paper presents a friendly and flexible computer-based decision support system for railway timetabling. It implements an efficient method, based on meta-heuristic techniques, which provides railway timetables that satisfy a realistic set of constraints and, that optimize a multi-criteria objective function.

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تاریخ انتشار 2006