RECIFE-SAT: A MILP-based algorithm for the railway saturation problem.
Paola PellegriniGrégory MarlièreJoaquin RodriguezPublished in: J. Rail Transp. Plan. Manag. (2017)
Keyphrases
- learning algorithm
- experimental evaluation
- dynamic programming
- optimization algorithm
- preprocessing
- similarity measure
- randomly generated
- worst case
- objective function
- search algorithm
- np hard
- search space
- matching algorithm
- probabilistic model
- expectation maximization
- detection algorithm
- optimal solution
- cost function
- linear programming
- high accuracy
- computational cost
- significant improvement
- particle swarm optimization
- branch and bound
- search strategy
- branch and bound algorithm
- recognition algorithm
- sat solvers
- stochastic local search algorithms