Solving the Assignment Problem Using Continuous-Time and Discrete-Time Improved Dual Networks

The assignment problem is an archetypal combinatorial optimization problem. In this brief, we present a continuous-time version and a discrete-time version of the improved dual neural network (IDNN) for solving the assignment problem. Compared with most assignment networks in the literature, the two...

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Vydané v:IEEE transaction on neural networks and learning systems Ročník 23; číslo 5; s. 821 - 827
Hlavní autori: Hu, Xiaolin, Wang, Jun
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York, NY IEEE 01.05.2012
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:2162-237X, 2162-2388, 2162-2388
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Shrnutí:The assignment problem is an archetypal combinatorial optimization problem. In this brief, we present a continuous-time version and a discrete-time version of the improved dual neural network (IDNN) for solving the assignment problem. Compared with most assignment networks in the literature, the two versions of IDNNs are advantageous in circuit implementation due to their simple structures. Both of them are theoretically guaranteed to be globally convergent to a solution of the assignment problem if only the solution is unique.
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ISSN:2162-237X
2162-2388
2162-2388
DOI:10.1109/TNNLS.2012.2187798