Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/52053| Title: | On statistical models based multi-objective optimization |
| Authors: | ˇZilinskas, A. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
| Issue Date: | 2013 |
| Publisher: | Minsk : Publ. center of BSU |
| Citation: | Computer Data Analysis and Modeling: Theoretical and Applied Stochastics : Proc. of the Tenth Intern. Conf., Minsk, Sept. 10–14, 2013. Vol 2. — Minsk, 2013. - P. 90-93 |
| Abstract: | Optimization problems with “expensive” and “black box” objectives are dif- ficult to tackle. Some experience is accumulated in single-objective global op- timization of those problems using algorithms based on statistical models of objective functions. The generalization of this approach to the multi-objective optimization is discussed. |
| URI: | http://elib.bsu.by/handle/123456789/52053 |
| Appears in Collections: | 2013. Computer Data Analysis and Modeling. Vol 2 Vol. 2 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.