Application of the Neural Dynamics Model to the Plastic Design of Structures

In Chapter 3 we presented a neural dynamics model for the optimization of structures by integrating the penalty function method, Lyapunov's stability theorem, the Kuhn-Tucker conditions, and the neural dynamics concept. In this chapter, we apply the model to the optimum plastic design of low-rise steel frames. The objective and constraint functions are scaled to improve the efficiency and numerical conditioning of the algorithm.