Neural networks in minimax programming

Abstract

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.<>