Integer linear programming neural networks for job-shop scheduling

  title={Integer linear programming neural networks for job-shop scheduling},
  author={Foo Yoon-Pin Simon and T. Takefuji},
  journal={IEEE 1988 International Conference on Neural Networks},
  pages={341-348 vol.2}
The authors present an integer linear programming neural network (ILPNN) based on a modified Tank and Hopfield neural network model to solve job-shop scheduling, an NP-complete constraint satisfaction problem. The constraints of the job-shop problem are formulated as a set of integer linear equations. The cost function for minimization is the total starting times of all jobs subject to precedence constraints. In the authors' approach, the set of integer linear equations is solved by an… CONTINUE READING


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H. Wagner
NRLQ, Vol • 1959

On the Job-Shop Scheduling Problem,

A. S. Manne
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