Vol.9, No.4, November 2020.                                                                                                                                                                           ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Conceptual and Instrumental Universalization and Implementation of Scheduling Algorithm of Extreme Experiment for Complex Objects


Oleg N. Dmitriev


© 2020 Oleg N. Dmitriev, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 9, Issue 4, Pages 1780-1790, ISSN 2217-8309, DOI: 10.18421/TEM94-61, November 2020.


Received: 26 May 2020.

Revised:   08 November 2020.
Accepted:  14 November 2020.
Published: 27 November 2020.




The computer technology searching for a preferable point in any factor space delivers to the extremum with regard to quantitative scalar response within scope of intelligent DSS-sphere, which was considered in this paper. The problem of universalization and planning (design) of extreme experiments in relation to complex objects in the conditions of significant limitation including the allowable number of experiments and sub-catastrophic duration of them was solved. A technology that involves the separation of three linked stages of optimization was proposed.


Keywords –design of experiment, extreme experiment, factor-response representation, intelligent DSS, optimization of decisions.



Full text PDF >  



Copyright © 2012-2020 UIKTEN, All Rights reserved
Copyright licence: All articles are licenced via Creative Commons CC BY-NC-ND 4.0 licence