Neural networks in minimax programming
S. Osowski · IEEE International Workshop on Cellular Neural Networks and their Applications · 2002
The application of the neural computing network concept to the minimax optimization is presented. According to the method the minimax programming problem is first transformed to the standard single-objective optimization problem and then solved by transforming it to the set of ordinary differential equations. The clustered connection-type interpretation of the neural-based minimax approach is given. The numerical results of some chosen examples are also presented. >