Massively parallel analog tabu search using neural networks applied to simple plant location problems
Article Abstract:
Simple plant location problems (SPLP) were solved using Tabu Neural Network (TANN), which is an analog, global search model that is easily implemented in massively parallel hardware. The results showed that the TANN outperforms by an average of 85% the Hopfield-Tank neural network The TANN was designed to handle combinatorial optimization problems by integrating the tabu search metaheuristic and neural networks into a single architecture.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1996
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A neural design for solution of the maximal independent set problem
Article Abstract:
A proposed neural structure to determine graphic maximal independent sets focuses on generating a high level of coverage of nodes in a graph. The design is a fast algorithm even in a computer simulation using a typical computer. Compared to conventional methods, the design is capable of deriving maximal and independent sets without difficulty. It is also capable of deriving larger sets as compared to heuristic methods.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1992
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An efficient mean field approach to the set covering problem
Article Abstract:
It has been possible to develop a mean field feedback artificial neural network algorithm for the set covering problem. A linearized dynamics was used to assess the bifurcation structure of the mean field dynamics involved in the neural network method.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2001
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