Augmented Hopfield network for mixed-integer programming

Watta and Hassoun (1996) proposed a coupled gradient neural network for mixed integer programming. In this network continuous neurons were used to represent discrete variables. For the larger temporal problem they attempted many of the solutions found were infeasible. This paper proposes an augmente...

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Veröffentlicht in:	IEEE transactions on neural networks 1999-03, Vol.10 (2), p.456-458
Hauptverfasser:	Walsh, M.P., Flynn, M.E., O'Malley, M.J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Electric, optical and optoelectronic circuits Electronics Exact sciences and technology Linear programming Mixed integer Networks Neural networks Neurons Programming Temporal logic Transfer functions
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