Integrating Neural Nets, Simulation, and Genetic Algorithms for Real-time Scheduling View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1993

AUTHORS

Albert Jones , Luis Rabelo

ABSTRACT

In this paper we briefly review the generic architecture for intelligent controllers proposed in DAVIS et al. (1992). We then describe an approach for carrying out the scheduling functions contained within that architecture. This approach integrates neural networks, real-time Monte Carlo simulation, and genetic algorithms.

PAGES

550-566

Book

TITLE

Operations Research in Production Planning and Control

ISBN

978-3-642-78065-3
978-3-642-78063-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-78063-9_34

DOI

http://dx.doi.org/10.1007/978-3-642-78063-9_34

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003518104


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