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Warm start by Hopfield neural networks for interior point methods by Marta I. Velazco Fontova; Aurelio R.L. Oliveira; Christiano Lyra is a Engineering article available to read on EtoBox.

What is Warm start by Hopfield neural networks for interior point methods about?

Hopfield neural networks and interior point methods are used in an integrated way to solve linear optimization problems. The Hopfield network gives warm start for the primal-dual interior point methods, which can be way ahead in the path to optimality. The approaches were applied to a set of real world linear programming problems. The integrated approaches provide promising results, indicating that there may be a place for neural networks in the "real game" of optimization.

Who reads Warm start by Hopfield neural networks for interior point methods?

Author

Marta I. Velazco Fontova; Aurelio R.L. Oliveira; Christiano Lyra

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0305-0548)

Published

2007

Language

EN

Field

Engineering (Physical Sciences)