Title :
Constrained optimization with use of two-dimensional maximum neurons
Author :
Yip, Percy P C ; Takefuji, Yoshiyasu
Author_Institution :
Dept. of Electr. Eng. & Appl. Phys., Case Western Reserve Univ., Cleveland, OH, USA
fDate :
27 Jun-2 Jul 1994
Abstract :
A special neuron, which we call two-dimensional maximum neuron is proposed. This type of neuron can eliminate the row and column constraints that occur in many problems, such as the stable marriage problem. A parallel processing algorithm to find the stable marriage matching using the proposed two-dimensional maximum neurons is described and the result is now reported
Keywords :
constraint theory; neural nets; operations research; optimisation; parallel algorithms; parallel processing; constrained optimization; neural nets; parallel processing algorithm; stable marriage problem; two-dimensional maximum neurons; Computer science; Constraint optimization; Energy states; Equations; Mathematics; Neurons; Parallel algorithms; Parallel processing; Physics; Power generation economics;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.375029
