(Enter summary)
Abstract: Island model genetic algorithms(GAs) are based on independent
GAs which evolve separately, and intermittently exchange genetic
material. Such models may be expressed as nested higher-order functions
and realised as the corresponding nested algorithmic skeletons. Here we
consider the use of an island model GA for the Traveling Salesperson
Problem(TSP) in the evaluation of our parallelising compiler for Standard
ML. We also discuss how an island model GA may be used to solve
the... (Update)
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BibTeX entry: (Update)
G. Michaelson and N.Scaife. Parallel functional island model genetic algorithms through nested skeletons. In M. Mohnen and P. Koopman, editors, Proceedings of 12th International Workshop on the Implementation of Functional Languages, pages 307--313, Aachen, September 2000. --ISSN 0935-3232. http://citeseer.ist.psu.edu/michaelson00parallel.html More
@misc{ michaelson00parallel,
author = "G. Michaelson and N. Scaife",
title = "Parallel functional island model genetic algorithms through nested skeletons",
text = "G. Michaelson and N.Scaife. Parallel functional island model genetic algorithms
through nested skeletons. In M. Mohnen and P. Koopman, editors, Proceedings
of 12th International Workshop on the Implementation of Functional Languages,
pages 307--313, Aachen, September 2000. --ISSN 0935-3232.",
year = "2000",
url = "citeseer.ist.psu.edu/michaelson00parallel.html" }
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Nested algorithmic skeletons from higher order functions
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