Authors
Laura Ingolotti, Antonio Lova, Federico Barber, Pilar Tormos, Miguel Angel Salido, Montserrat Abril
Publication date
2006
Conference
Advances in Applied Artificial Intelligence: 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006, Annecy, France, June 27-30, 2006. Proceedings 19
Pages
400-409
Publisher
Springer Berlin Heidelberg
Description
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.
Total citations
Scholar articles
L Ingolotti, A Lova, F Barber, P Tormos, MA Salido… - Advances in Applied Artificial Intelligence: 19th …, 2006