On the Value of Objective Function Adaptation in Online Optimisation

Jörn Schönberger () and Herbert Kopfer ()
Additional contact information
Jörn Schönberger: University of Bremen
Herbert Kopfer: University of Bremen

A chapter in Operations Research Proceedings 2007, 2008, pp 491-496 from Springer

Abstract: Abstract We analyse a dynamic variant of the vehicle routing problem with soft time windows in which an average punctuality must be guaranteed (e.g. lateness is allowed at some customer sites). The existing objective function does not support both the aspiration for punctuality and least cost so that additional efforts are necessary to achieve an acceptable punctuality level at least possible costs. Within numerical experiments it is shown that static penalties are not adequate in such a situation but that an adaptation of the objective function before its application to the next problem instance supports the search for high quality solutions of the problem.

Keywords: Transportation Plan; Optimal Parameter Setting; Static Penalty; Logistic Service Provider; Maximal Punctuality (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-540-77903-2_76

Ordering information: This item can be ordered from
http://www.springer.com/9783540779032

DOI: 10.1007/978-3-540-77903-2_76

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().