1 March 1992 Experiment on using genetic algorithms to learn scheduling heuristics
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Proceedings Volume 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems; (1992); doi: 10.1117/12.56902
Event: Aerospace Sensing, 1992, Orlando, FL, United States
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen P. Smith, "Experiment on using genetic algorithms to learn scheduling heuristics", Proc. SPIE 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems, (1 March 1992); doi: 10.1117/12.56902; https://doi.org/10.1117/12.56902
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KEYWORDS
Genetic algorithms

Manufacturing

Evolutionary algorithms

Genetics

Artificial intelligence

Intelligence systems

Organisms

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