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The resource constrained shortest path problem implemented in a lazy functional language

Part of: JFP Research Articles

Published online by Cambridge University Press:  07 November 2008

Pieter H. Hartel  and
Hugh Glaser
Pieter H. Hartel
Affiliation:
Department of Computer Systems, University of Amsterdam, The Netherlands(Email: pieter@fwi.uva.nl)
Hugh Glaser
Affiliation:
Department of Electronics and Computer Science, University of Southampton, UK (Email: hg@ecs.soton.ac.uk)
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Abstract

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The resource constrained shortest path problem is an NP-hard problem for which many ingenious algorithms have been developed. These algorithms are usually implemented in Fortran or another imperative programming language. We have implemented some of the simpler algorithms in a lazy functional language. Benefits accrue in the software engineering of the implementations. Our implementations have been applied to a standard benchmark of data files, which is available from the Operational Research Library of Imperial College, London. The performance of the lazy functional implementations, even with the comparatively simple algorithms that we have used, is competitive with a reference Fortran implementation.

Information

Type
Articles
Information
Journal of Functional Programming , Volume 6 , Issue 1 , January 1996 , pp. 29 - 46
Copyright
Copyright © Cambridge University Press 1996

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