Using a general-purpose mixed-integer linear programming solver for the practical solution of real-time train rescheduling
DOI10.1016/j.ejor.2017.04.057zbMath1380.90115OpenAlexW2610956397MaRDI QIDQ1695036
Matteo Fischetti, Michele Monaci
Publication date: 6 February 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/11585/603035
combinatorial optimizationmixed-integer linear programmingreal-time optimizationtrain reschedulingrailways optimization
Mixed integer programming (90C11) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27) Software, source code, etc. for problems pertaining to operations research and mathematical programming (90-04)
Related Items (7)
Cites Work
- Job-shop scheduling with blocking and no-wait constraints
- A branch and bound algorithm for scheduling trains in a railway network
- On handling indicator constraints in mixed integer programming
- Optimal Real-Time Traffic Control in Metro Stations
- An Exact Decomposition Approach for the Real-Time Train Dispatching Problem
- Modeling and Solving the Train Timetabling Problem
- Exploiting Erraticism in Search
- Machine Sequencing Via Disjunctive Graphs: An Implicit Enumeration Algorithm
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