Omid Gholami

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Omid Gholami is currently a Research Fellow at Blekinge Institute of Technology (BTH), Sweden. His research interests include scheduling theory, transportation optimization, algorithm, and computation. He was a member of the FLOAT project (Real-time decision support for railway traffic management) and BLIXTEN (evaluation of algorithms for real-time scheduling support) project at BTH.

Projekt och publikationer

Pågående projekt
BLIXTEN, evaluation of algorithms for real-time scheduling support.

Avslutade projekt
FLOAT, real-time decision support for railway traffic management.

Nyligen publicerat
Omid Gholami, Y. N. Sotskov, F. Werner, A. S. Zatsiupo, "Heuristic Algorithms to Maximize Revenue and the Number of Jobs Processed on Parallel Machines", Automation and remote control, ISSN 0005-1179, EISSN 1608-3032, Vol. 80, nr 2, pp. 297 - 316, MAIK NAUKA/INTERPERIODICA/SPRINGER, 2019
Omid Gholami, Yuri Sotskov, Frank Werner, "A Genetic algorithms for hybrid job-shop problems with minimizing the makespan and mean flow time", Journal of Advanced Manufacturing Systems, ISSN 0219-6867, EISSN 1793-6896, Vol. 17, nr 4, pp. 461 - 486, World Scientific, 2018
Omid Gholami, Johanna Törnquist Krasemann, "A Heuristic Approach to Solving the Train Traffic Re-Scheduling Problem in Real Time", Algorithms, EISSN 1999-4893, Vol. 11, nr 4, pp. 1 - 18, MDPI, 2018