A metamodel using neural networks and genetic algorithms for an integrated optimal design of mechanisms.

This work examines the possibility of using genetic algorithms and some neural networks to optimise mechanisms. A detailed example shows that using this stochastic method along with neural networks is very efficient. We can thus speak of a metamodel for optimisation in the context of integrated design . [ABSTRACT FROM AUTHOR]