Stochastic neural networks for solving job-shop scheduling. I. Problem representation

@article{Simon1988StochasticNN,
  title={Stochastic neural networks for solving job-shop scheduling. I. Problem representation},
  author={Foo Yoon-Pin Simon and Y. Takefuji},
  journal={IEEE 1988 International Conference on Neural Networks},
  year={1988},
  pages={275-282 vol.2}
}
An application of neural networks is presented for solving job-shop scheduling, and NP-complete optimization problem with constraint satisfaction. In particular, the authors introduce a neural computation architecture based on a stochastic Hopfield neural-network model. First, the job-shop problem is mapped into a two-dimensional matrix representation of neurons similar to those for solving the traveling salesman problem (TSP). Constant positive and negative current biases are applied to… CONTINUE READING
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