Comparison of Methods for Using Reduced Models to Speed Up Design Optimization
Khaled Rasheed, xiao Ni, Swaroop S. Vattam · 2007
In this paper we compare two methods for forming reduced models to speed up genetic-algorithm-based optimization. The methods work by forming functional approximations of the fitness function which are used to speed up the GA optimization. Empirical results in several engineering design domains are presented.