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A globally convergent neurodynamics optimization model for mathematical programming with equilibrium constraints

Soraya EzazipourAhmad Golbabai — 2020

Kybernetika

This paper introduces a neurodynamics optimization model to compute the solution of mathematical programming with equilibrium constraints (MPEC). A smoothing method based on NPC-function is used to obtain a relaxed optimization problem. The optimal solution of the global optimization problem is estimated using a new neurodynamic system, which, in finite time, is convergent with its equilibrium point. Compared to existing models, the proposed model has a simple structure, with low complexity. The...

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