Title :
A discrete-time primal-dual assignment network
Author :
Wang, Jun ; Xia, Youshen
Author_Institution :
Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Abstract :
Presents a discrete-time recurrent neural network for solving the assignment problem. Because the proposed recurrent neural network solves the primal and dual assignment problems simultaneously, it is called the primal-dual assignment network. The primal-dual assignment network is guaranteed to make optimal assignment regardless of initial conditions. Unlike the primal or dual assignment network, there is no time-varying design parameter in the primal-dual assignment network. Therefore, it is more suitable for hardware implementation. The performance and operating characteristics of the primal-dual assignment network are demonstrated by means of illustrative examples
Keywords :
combinatorial mathematics; discrete time systems; duality (mathematics); optimisation; recurrent neural nets; discrete-time primal-dual assignment network; operating characteristics; optimal assignment; performance characteristics; Automation; Differential equations; Hardware; Job design; Job production systems; Neural networks; Pattern classification; Printed circuits; Recurrent neural networks; Switches;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.686016