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Proceedings Paper

Experiment on using genetic algorithms to learn scheduling heuristics
Author(s): Stephen P. Smith
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Paper Abstract

In this paper, we describe a simple experiment to test the application of genetic algorithms to learning scheduling heuristics. A very simple genetic representation is used which can represent a wide variety of schedulers. We describe a simple experiment using this representation and show how the learning technique produces schedulers which are adapted to the scheduling scenario.

Paper Details

Date Published: 1 March 1992
PDF: 9 pages
Proc. SPIE 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems, (1 March 1992); doi: 10.1117/12.56902
Show Author Affiliations
Stephen P. Smith, Northrop Research and Technology Ctr. (United States)


Published in SPIE Proceedings Vol. 1707:
Applications of Artificial Intelligence X: Knowledge-Based Systems
Gautam Biswas, Editor(s)

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