An optimization neural network model with time-dependent and lossy dynamics

The paper deals with continuously operating optimization neural netw orks with lossy dynamics.As the main feature of the neural model time-varying nature of neuron activation functions is introduced. The model presented is general in the sense that it covers the cases of neural net w orks for combinatorial optimization (Hop eld-like netw orks) and neural models for optimization problems with continuous decision variables. Besides the brief stability analysis of the proposed neural netw ork we also sho w how to derive from it lossy versions of improved Hop eld