Method and apparatus for efficient design automation and optimiz

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364149, 364151, 36446809, 36446824, 395 24, 395268, 395241, 395 11, G06F 1900, G06G 76466

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058153942

ABSTRACT:
A computational model for optimal and automated design of structures based on neural dynamic is disclosed. The disclosed neural dynamic model for structural optimization integrates a penalty function method, Lyapunov stability theorem, Kuhn-Tucker condition and neural dynamic concepts. The model, which has global convergence, is general and may be applied to many nonlinear programming problems such as the design of automobiles, airplanes, fighters, building structures, and high-performance computer chips.

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