In this paper we apply a differential model (neural network model) for solving an optimization problem with interval valued objective function. To construct the differential model, here we used Karush-Kuhn-Tucker optimality conditions....

objective functions. To find the optimal solutions, these functions are minimized with respect to each variable. As a result, two new constraint equations are obtained, which can be utilized as the nonlinear solver. To demonstrate the merit of authors...

vibration isolation of ship engine mounts is a very common and important engineering design problem

We consider an optimal control problem for systems by elliptic

partial differential equations, with state constraints and a

$minimax$ objective function. Using the finite element method

theory, we discretize the problem...

problem and then linearize the problem and obtain a linear programming. By solving the linear programming, the control and state functions and the value of objective function are obtained....