A gradient system solution to Potts mean field equations and its electronic implementation.
A gradient system solution method is presented for solving Potts mean field equations for combinatorial optimization problems subject to winner-take-all constraints. In the proposed solution method the optimum solution is searched by using gradient descent differential equations whose trajectory is confined within the feasible solution space of optimization problems. This gradient system is proven theoretically to always produce a legal local optimum solution of combinatorial optimization problems. An elementary analog electronic circuit implementing the presented method is designed on the basis of current-mode subthreshold MOS technologies. The core constituent of the circuit is the winner-take-all circuit developed by Lazzaro et al. Correct functioning of the presented circuit is exemplified with simulations of the circuits implementing the scheme for solving the shortest path problems.
Urahama
K
K
Department of Computer Science and Electronics, Kyushu Institute of Technology, Fukuoka, Japan.
Ueno
S
S
D000465:Algorithms; D003198:Computer Simulation; D003202:Computers, Analog; D016571:Neural Networks, Computer