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

Hartel, Pieter H. and Glaser, Hugh (1996) The Resource constrained shortest path problem implemented in a lazy functional language J. Functional Programming, 6, (1), pp. 29-45.

Record type: Article


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.

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Published date: January 1996
Keywords: Resource constrained shortest path, lazy functional programming, dynamic programming, benchmarking.
Organisations: Web & Internet Science


Local EPrints ID: 250587
PURE UUID: 26718c8d-6899-458a-8824-0cdf116facc0

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Date deposited: 22 Jun 1999
Last modified: 18 Jul 2017 10:40

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Author: Pieter H. Hartel
Author: Hugh Glaser

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