OICC Press International Journal of Mathematical Modelling & Computations 2228-6233 8 4 2018 11 01 An Efficient Neurodynamic Scheme for Solving a Class of Nonconvex Nonlinear Optimization Problems 255 258 EN Mohammad Moghaddas Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran. Ghasem Tohidi Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran. Journal Article 2018 11 01 ‎By p-power (or partial p-power) transformation‎, ‎the Lagrangian function in nonconvex optimization problem becomes locally convex‎. ‎In this paper‎, ‎we present a neural network based on an NCP function for solving the nonconvex optimization problem‎. An important feature of this neural network is the one-to-one correspondence between its equilibria and KKT points of the nonconvex optimization problem. the proposed neural network is proved to be stable and convergent to an optimal solution of the original problem‎. ‎Finally‎, an ‎examples is provided to show the applicability of the proposed neural network‎.