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

  • Albert Jones
  • Luis Rabelo
Conference paper


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.


Genetic Algorithm Soft Constraint Hard Constraint Assessment Function Error Recovery 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin· Heidelberg 1993

Authors and Affiliations

  • Albert Jones
    • 1
  • Luis Rabelo
    • 2
  1. 1.National Institute of Standards and TechnologyGaithersburgUSA
  2. 2.Ohio UniversityAthensUSA

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