Railway delay management using genetic algorithm and ant colony optimization

Last updated on 03 December 2013 2:36
Railway delay management problem was treated as a multi-objective optimization problem modeled as a job-shop scheduling problem. Two metaheuristic algorithms: Genetic Algorithm and Ant Colony Optimization were adjusted to the specific character of the railway re-scheduling domain and applied together as a hybrid GA&ACO algorithm to prepare a re-scheduled timetable...
Author(s): Katarzyna Palikowska
2013
Poland
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