Controlling Convergence of Space-Mapping Algorithms for Engineering Optimization

The problem of convergence properties of space mapping optimization algorithms is addressed. A new weighting scheme in the parameter extraction procedure is introduced that allows us to control the behavior of the space mapping algorithm and force it to converge after a reasonable number of fine model evaluations. An application example is provided.