On strong homogeneity of two global optimization algorithms based on statistical models of multimodal objective functions
Numerical Analysis
2016-11-25 v1 Optimization and Control
Abstract
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.
Cite
@article{arxiv.1108.1042,
title = {On strong homogeneity of two global optimization algorithms based on statistical models of multimodal objective functions},
author = {Antanas Zilinskas},
journal= {arXiv preprint arXiv:1108.1042},
year = {2016}
}
Comments
11 pages, 1 figure