Neural network for global optimization

Kwok Wai Cheung; T. Lee

doi:10.1109/RNNS.1992.268610

Neural network for global optimization

Kwok Wai Cheung, T. Lee

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

A tunneling neural network that can be used in conjunction with a Hopfield network to solve a global minimization problem is proposed. When the two are used together, the global minimum of the corresponding Hopfield energy can be attained. Simulation was performed for the traveling salesman problem with four to ten cities, and a solution very near to the global minimum was reached for all the cases investigated.

Original language	English
Title of host publication	Proceedings 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992
Publisher	IEEE
Pages	53-63
Number of pages	11
ISBN (Electronic)	9780780308091
ISBN (Print)	0780308093
DOIs	https://doi.org/10.1109/RNNS.1992.268610
Publication status	Published - 1992
Event	1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992 - Rostov-on-Don, Russian Federation Duration: 7 Oct 1992 → 10 Oct 1992

Publication series

Name	Proceedings 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992

Conference

Conference	1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992
Country/Territory	Russian Federation
City	Rostov-on-Don
Period	7/10/92 → 10/10/92

Scopus Subject Areas

Artificial Intelligence
Computer Science Applications
Information Systems

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10.1109/RNNS.1992.268610

Cite this

@inproceedings{902d9823e6c249be9577279e6ebdc88e,

title = "Neural network for global optimization",

abstract = "A tunneling neural network that can be used in conjunction with a Hopfield network to solve a global minimization problem is proposed. When the two are used together, the global minimum of the corresponding Hopfield energy can be attained. Simulation was performed for the traveling salesman problem with four to ten cities, and a solution very near to the global minimum was reached for all the cases investigated.",

author = "Cheung, {Kwok Wai} and T. Lee",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992 ; Conference date: 07-10-1992 Through 10-10-1992",

year = "1992",

doi = "10.1109/RNNS.1992.268610",

language = "English",

isbn = "0780308093",

series = "Proceedings 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992",

publisher = "IEEE",

pages = "53--63",

booktitle = "Proceedings 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992",

address = "United States",

}

Cheung, KW & Lee, T 1992, Neural network for global optimization. in Proceedings 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992., 268610, Proceedings 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992, IEEE, pp. 53-63, 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992, Rostov-on-Don, Russian Federation, 7/10/92. https://doi.org/10.1109/RNNS.1992.268610

Neural network for global optimization. / Cheung, Kwok Wai; Lee, T.
Proceedings 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992. IEEE, 1992. p. 53-63 268610 (Proceedings 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

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AU - Cheung, Kwok Wai

AU - Lee, T.

PY - 1992

Y1 - 1992

N2 - A tunneling neural network that can be used in conjunction with a Hopfield network to solve a global minimization problem is proposed. When the two are used together, the global minimum of the corresponding Hopfield energy can be attained. Simulation was performed for the traveling salesman problem with four to ten cities, and a solution very near to the global minimum was reached for all the cases investigated.

AB - A tunneling neural network that can be used in conjunction with a Hopfield network to solve a global minimization problem is proposed. When the two are used together, the global minimum of the corresponding Hopfield energy can be attained. Simulation was performed for the traveling salesman problem with four to ten cities, and a solution very near to the global minimum was reached for all the cases investigated.

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DO - 10.1109/RNNS.1992.268610

M3 - Conference proceeding

AN - SCOPUS:0011963551

SN - 0780308093

T3 - Proceedings 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992

SP - 53

EP - 63

BT - Proceedings 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992

PB - IEEE

T2 - 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, RNNS 1992

Y2 - 7 October 1992 through 10 October 1992

ER -

Neural network for global optimization

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