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2020 | OriginalPaper | Chapter

7. General Multi-Stage Problems

Author : Philine Schiewe

Published in: Integrated Optimization in Public Transport Planning

Publisher: Springer International Publishing

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Abstract

As we have seen in the previous chapters, solving public transport problems as integrated problems instead of sequentially can lead to significant improvements in solution quality but at the same time makes the problem much harder to solve. In this chapter, we have a look at general multi-stage problems and we compare the solution quality of integrated and sequential solution approaches.

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previous chapter Two Heuristic Approaches for Integrating Public Transport Problems
next chapter Discussion and Conclusion
Literature
[BHK17]
R. Borndörfer, H. Hoppmann, M. Karbstein, Passenger routing for periodic timetable optimization. Public Transp. 9(1-2), 115–135 (2017)CrossRef
[GJ79]
M. Garey, D. Johnson, Computers and Intractability: A Guide to the Theory of NP-Completeness, vol. 29 (WH Freeman and Company, San Francisco, 1979)MATH
[KDC18]
M. Kidd, M. Darvish, L. Coelho, On the value of integration in supply chain planning, in 29th European Conference on Operational Research (EURO 2018), 2018
[NW88]
G. Nemhauser, L. Wolsey, Integer and Combinatorial Optimization (Wiley, 1988)
[Sch14]
M. Schmidt, Integrating Routing Decisions in Public Transportation Problems, vol. 89 of Optimization and Its Applications (Springer, 2014)
Metadata
Title
General Multi-Stage Problems
Author
Philine Schiewe
Copyright Year
2020
Book
Integrated Optimization in Public Transport Planning

Print ISBN: 978-3-030-46269-7

Electronic ISBN: 978-3-030-46270-3

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-46270-3_7