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Avtomat. i Telemekh., 2019, Issue 2, Pages 125–151 (Mi at15235)  

Intellectual Control Systems, Data Analysis

Heuristic algorithms to maximize revenue and the number of jobs processed on parallel machines

O. A. Gholamia, Y. N. Sotskovb, F. Wernerc, O. S. Zatsiupod

a Blekinge Institute of Technology
b United Institute of Informatics Problems of the National Academy of Sciences of Belarus
c Otto-von-Guericke-Universität Magdeburg, Fakultät für Mathematik
d СЗАО “Серволюкс”, Могилев, Беларусь

DOI: https://doi.org/10.1134/S0005231019020089

Full text: PDF file (1045 kB)
First page: PDF file
References: PDF file   HTML file

Document Type: Article
Presented by the member of Editorial Board: A. A. Lazarev

Received: 20.03.2018
Revised: 25.09.2018
Accepted: 08.11.2018

Citation: O. A. Gholami, Y. N. Sotskov, F. Werner, O. S. Zatsiupo, “Heuristic algorithms to maximize revenue and the number of jobs processed on parallel machines”, Avtomat. i Telemekh., 2019, no. 2, 125–151

Citation in format AMSBIB
\Bibitem{GhoSotWer19}
\by O.~A.~Gholami, Y.~N.~Sotskov, F.~Werner, O.~S.~Zatsiupo
\paper Heuristic algorithms to maximize revenue and the number of jobs processed on parallel machines
\jour Avtomat. i Telemekh.
\yr 2019
\issue 2
\pages 125--151
\mathnet{http://mi.mathnet.ru/at15235}
\crossref{https://doi.org/10.1134/S0005231019020089}


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