Dr. Mohammad Bayat
ProfessorIran University of Science and Technology, Iran
Highest Degree
Ph.D. in Industrial Engineering from Iran University of Science and Technology, Iran
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Iran University of Science and Technology, Iran
Biography
Dr. Mohammad Bayat has completed his Ph.D. in Industrial Engineering from Iran University of Science and Technology, Iran. His main area of interest related to Industrial Engineering. His area of expertise includes Scheduling, Production Planning, Meta- heuristics, Operations Management, Robust Optimization, Operations Research, Stochastic Modeling, Optimization, and Heuristics. He has 3 publications in journals.
Area of Interest:
Computer Sciences
100%
Artificial Intelligence
62%
Heuristic search
90%
Discrete Dynamics
75%
Decision Science
55%
Research Publications in Numbers
Books
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0
Chapters
0
0
Articles
0
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Abstracts
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Selected Publications
- Heydari, M., M.M. Mazdeh and M. Bayat, 2013. Stochastic online scheduling with preemption penalties. J. Mathe. Comput. Sci., 6: 238-250.
Direct Link | - Heydari, M., M.M. Mazdeh and M. Bayat, 2013. Scheduling stochastic two-machine flow shop problems to minimize expected makespan. Decision Sci. Lett., 2: 163-174.
CrossRef | Direct Link | - Heydari, M., M.M. Mazdeh and M. Bayat, 2013. Heuristic for stochastic online flowshop problem with preemption penalties. Discrete Dynam. Nat. Soc. 10.1155/2013/916978.
CrossRef | Direct Link |