A NEURAL-NETWORK APPROACH TO SOLVE THE STABLE MATCHING PROBLEM

Authors
YUAN YF WANG L
Citation
Yf. Yuan et L. Wang, A NEURAL-NETWORK APPROACH TO SOLVE THE STABLE MATCHING PROBLEM, European journal of operational research, 93(2), 1996, pp. 331-345
Citations number
17
Categorie Soggetti
Management,"Operatione Research & Management Science","Operatione Research & Management Science
Journal title
European journal of operational research → ACNP
ISSN journal
03772217
Volume
93
Issue
2
Year of publication
1996
Pages
331 - 345
Database
ISI
SICI code
0377-2217(1996)93:2<331:ANATST>2.0.ZU;2-Q
Abstract
In this paper two types of neurons, the maximum selection neuron and t he maximum cut-off neuron are introduced. They are used to construct a neural network to represent and solve the stable matching problem. Th e neural network approach allows the matching to be processed dynamica lly in a distributed parallel processing environment.