DocumentCode
1579341
Title
Neural network for global optimization
Author
Cheung, Kwok-Wai ; Lee, Tong
Author_Institution
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
fYear
1992
Firstpage
53
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
Keywords
Hopfield neural nets; minimisation; operations research; Hopfield energy; Hopfield network; global minimization; global optimization; simulation; traveling salesman problem; tunneling neural network; Annealing; Cities and towns; Constraint optimization; Constraint theory; Minimization methods; Multidimensional systems; Neural networks; Performance analysis; Traveling salesman problems; Tunneling;
fLanguage
English
Publisher
ieee
Conference_Titel
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location
Rostov-on-Don
Print_ISBN
0-7803-0809-3
Type
conf
DOI
10.1109/RNNS.1992.268610
Filename
268610
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