\ \ The basic principle of artificial neural optimization is described, the neural network model for structural engineering optimization is built. The simulated annealing technique is used, and 1/T is regraded as the Lagrange multiplier to improve convergence. The illustrative numerical example of a structural sizing optimization shows that massively parallel, interconnected networks of nonlinear analog neurons are most effctive in structural optimization.