2004, Volume 6, Issue 5
Strategic Study of CAE >> 2004, Volume 6, Issue 5
Pulse Transiently Chaotic Neural Network for Nonlinear Constrained Optimization
1. Department of Electronics Engineering,Tsinghua University, Beijing 100084, China
2. Construction Engineering School, Tianjin University, Tianjin 300072, China
3. Guanghua School of Management, Peking University, Beijing 100871, China
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Abstract
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.
Keywords
PTCNN ; penalty function ; nonlinear constrained optimization
Figures
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