Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/76268
Type: Artigo de periódico
Title: Warm start by Hopfield neural networks for interior point methods
Author: Fontova, MIV
Oliveira, ARL
Lyra, C
Abstract: 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. (c) 2005 Elsevier Ltd. All rights reserved.
Subject: Hopfield networks
primal-dual interior point methods
neural networks
linear programming
Country: Inglaterra
Editor: Pergamon-elsevier Science Ltd
Rights: fechado
Identifier DOI: 10.1016/j.cor.2005.09.019
Date Issue: 2007
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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