Pulse Transiently Chaotic Neural Network for Nonlinear Constrained Optimization
Strategic Study of CAE ›› 2004, Vol. 6 ›› Issue (5) : 45 -48.
Pulse Transiently Chaotic Neural Network (PTCNN) can find almost all optima including the part optima and the global with its abundance dynamical characteristic, when is used in nonlinear non-constrained optimization. The optimization problem is first unconstrained by virtue of non-differentiable exact penalty function, and is further solved by PTCNN. It is showed by an example that this method is efficient.
PTCNN / penalty function / nonlinear constrained optimization
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