Optimal pacing of trains in freight railroads: model formulation and solution
Operations Research
Annals of Operations Research - Special issue on Tabu search
Part type selection problem in flexible manufacturing systems: tabu search algorithms
Annals of Operations Research - Special issue on Tabu search
Solving real-life vehicle routing problems efficiently using tabu search
Annals of Operations Research - Special issue on Tabu search
A fast heuristic for the train scheduling problem
Computers and Operations Research
A genetic algorithm for the talent scheduling problem
Computers and Operations Research - Special issue: heuristic, genetic and tabu search
A tabu search heuristic for the vehicle routing problem
Management Science
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms and Simulated Annealing
Genetic Algorithms and Simulated Annealing
Improving railroad on-time performance: models, algorithms and applications
Improving railroad on-time performance: models, algorithms and applications
A Lagrangian heuristic algorithm for a real-world train timetabling problem
Discrete Applied Mathematics - Special issue: IV ALIO/EURO workshop on applied combinatorial optimization
Scheduling trains as a blocking parallel-machine job shop scheduling problem
Computers and Operations Research
Train timetable problem on a single-line railway with fuzzy passenger demand
IEEE Transactions on Fuzzy Systems
International Journal of Data Analysis Techniques and Strategies
A Lagrangian heuristic algorithm for a real-world train timetabling problem
Discrete Applied Mathematics - Special issue: IV ALIO/EURO workshop on applied combinatorial optimization
Intelligent timetable evaluation using fuzzy AHP
Expert Systems with Applications: An International Journal
Railway track allocation: models and methods
OR Spectrum
A set packing inspired method for real-time junction train routing
Computers and Operations Research
SIMARAIL: simulation based optimization software for scheduling railway network
Proceedings of the Winter Simulation Conference
Single line train scheduling with ACO
EvoCOP'13 Proceedings of the 13th European conference on Evolutionary Computation in Combinatorial Optimization
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Optimising a train schedule on a single line track is known to beNP-Hard with respect to the number of conflicts in the schedule. Thismakes it difficult to determine optimum solutions to real lifeproblems in reasonable time and raises the need for good heuristictechniques. The heuristics applied and compared in this paper are alocal search heuristic with an improved neighbourhood structure,genetic algorithms, tabu search and two hybrid algorithms. When notime constraints are enforced on solution time, the genetic andhybrid algorithms were within five percent of the optimal solutionfor at least ninety percent of the test problems.