On strong homogeneity of two global optimization algorithms based on   statistical models of multimodal objective functions
  The implementation of global optimization algorithms, using the arithmetic of infinity, is considered. A relatively simple version of implementation is proposed for the algorithms that possess the introduced property of strong homogeneity. It is shown that the P-algorithm and the one-step Bayesian algorithm are strongly homogeneous. 
Antanas Zilinskas
cs.NA math.OC