GENETIC LEARNING OF DYNAMIC SCHEDULING WITHIN A SIMULATION ENVIRONMENT

Authors
AYTUG H KOEHLER GJ SNOWDON JL
Citation
H. Aytug et al., GENETIC LEARNING OF DYNAMIC SCHEDULING WITHIN A SIMULATION ENVIRONMENT, Computers & operations research, 21(8), 1994, pp. 909-925
Citations number
46
Categorie Soggetti
Operatione Research & Management Science","Operatione Research & Management Science","Computer Science Interdisciplinary Applications","Engineering, Industrial
Journal title
Computers & operations research → ACNP
ISSN journal
03050548
Volume
21
Issue
8
Year of publication
1994
Pages
909 - 925
Database
ISI
SICI code
0305-0548(1994)21:8<909:GLODSW>2.0.ZU;2-1
Abstract
This paper proposes a learning mode for dynamic scheduling. A simulati on environment having intelligent objects is described. Intelligent ob jects make decisions. A method is described in which intelligent objec ts can learn during the course of a simulation. The learning method is modeled after classifier systems using a Genetic Algorithm. Inference uses a bidding system. This study shows that intelligent objects can learn to perform within such an environment.