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Engineering the modulo network simplex heuristic for the periodic timetabling problem

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Engineering the modulo network simplex heuristic for the periodic timetabling problem. / Goerigk, Marc; Schöbel, Anita.
Experimental Algorithms. ed. / Panos M. Pardalos; Steffen Rebennack. Berlin: Springer, 2011. p. 181-192 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6630).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Goerigk, M & Schöbel, A 2011, Engineering the modulo network simplex heuristic for the periodic timetabling problem. in PM Pardalos & S Rebennack (eds), Experimental Algorithms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6630, Springer, Berlin, pp. 181-192, 10th International Symposium on Experimental Algorithms, SEA 2011, Kolimpari, Chania, Crete, Greece, 5/05/11. https://doi.org/10.1007/978-3-642-20662-7_16

APA

Goerigk, M., & Schöbel, A. (2011). Engineering the modulo network simplex heuristic for the periodic timetabling problem. In P. M. Pardalos, & S. Rebennack (Eds.), Experimental Algorithms (pp. 181-192). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6630). Springer. https://doi.org/10.1007/978-3-642-20662-7_16

Vancouver

Goerigk M, Schöbel A. Engineering the modulo network simplex heuristic for the periodic timetabling problem. In Pardalos PM, Rebennack S, editors, Experimental Algorithms. Berlin: Springer. 2011. p. 181-192. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-20662-7_16

Author

Goerigk, Marc ; Schöbel, Anita. / Engineering the modulo network simplex heuristic for the periodic timetabling problem. Experimental Algorithms. editor / Panos M. Pardalos ; Steffen Rebennack. Berlin : Springer, 2011. pp. 181-192 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Bibtex

@inproceedings{9c1d41b1f617425c923433f82a394b82,
title = "Engineering the modulo network simplex heuristic for the periodic timetabling problem",
abstract = "The Periodic Event Scheduling Problem (PESP), in which events have to be scheduled repeatedly over a given period, is a complex and well-known discrete problem with numerous real-world applications. One of them is to find periodic timetables which is economically important, but difficult to handle mathematically, since even finding a feasible solution to this problem is known to be NP-hard. On the other hand, there are recent achievements like the computation of the timetable of the Dutch railway system that impressively demonstrate the applicability and practicability of the mathematical model. In this paper we propose different approaches to improve the modulo network simplex algorithm [8], which is a powerful heuristic for the PESP problem, by exploiting improved search methods in the modulo simplex tableau and larger classes of cuts to escape from the many local optima. Numerical experiments on railway instances show that our algorithms are able to handle problems of the size of the German intercity railway network.",
author = "Marc Goerigk and Anita Sch{\"o}bel",
year = "2011",
doi = "10.1007/978-3-642-20662-7_16",
language = "English",
isbn = "9783642206610",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "181--192",
editor = "Pardalos, {Panos M.} and Steffen Rebennack",
booktitle = "Experimental Algorithms",
note = "10th International Symposium on Experimental Algorithms, SEA 2011 ; Conference date: 05-05-2011 Through 07-05-2011",

}

RIS

TY - GEN

T1 - Engineering the modulo network simplex heuristic for the periodic timetabling problem

AU - Goerigk, Marc

AU - Schöbel, Anita

PY - 2011

Y1 - 2011

N2 - The Periodic Event Scheduling Problem (PESP), in which events have to be scheduled repeatedly over a given period, is a complex and well-known discrete problem with numerous real-world applications. One of them is to find periodic timetables which is economically important, but difficult to handle mathematically, since even finding a feasible solution to this problem is known to be NP-hard. On the other hand, there are recent achievements like the computation of the timetable of the Dutch railway system that impressively demonstrate the applicability and practicability of the mathematical model. In this paper we propose different approaches to improve the modulo network simplex algorithm [8], which is a powerful heuristic for the PESP problem, by exploiting improved search methods in the modulo simplex tableau and larger classes of cuts to escape from the many local optima. Numerical experiments on railway instances show that our algorithms are able to handle problems of the size of the German intercity railway network.

AB - The Periodic Event Scheduling Problem (PESP), in which events have to be scheduled repeatedly over a given period, is a complex and well-known discrete problem with numerous real-world applications. One of them is to find periodic timetables which is economically important, but difficult to handle mathematically, since even finding a feasible solution to this problem is known to be NP-hard. On the other hand, there are recent achievements like the computation of the timetable of the Dutch railway system that impressively demonstrate the applicability and practicability of the mathematical model. In this paper we propose different approaches to improve the modulo network simplex algorithm [8], which is a powerful heuristic for the PESP problem, by exploiting improved search methods in the modulo simplex tableau and larger classes of cuts to escape from the many local optima. Numerical experiments on railway instances show that our algorithms are able to handle problems of the size of the German intercity railway network.

U2 - 10.1007/978-3-642-20662-7_16

DO - 10.1007/978-3-642-20662-7_16

M3 - Conference contribution/Paper

AN - SCOPUS:79955797326

SN - 9783642206610

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 181

EP - 192

BT - Experimental Algorithms

A2 - Pardalos, Panos M.

A2 - Rebennack, Steffen

PB - Springer

CY - Berlin

T2 - 10th International Symposium on Experimental Algorithms, SEA 2011

Y2 - 5 May 2011 through 7 May 2011

ER -