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|Type:||Artigo de periódico|
|Title:||Warm start by Hopfield neural networks for interior point methods|
|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.|
primal-dual interior point methods
|Editor:||Pergamon-elsevier Science Ltd|
|Appears in Collections:||Artigos e Materiais de Revistas Científicas - Unicamp|
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