2022 - Research.com Engineering and Technology in Iran Leader Award
His main research concerns Job shop scheduling, Mathematical optimization, Flow shop scheduling, Simulated annealing and Algorithm. His studies in Job shop scheduling integrate themes in fields like Preventive maintenance, Dynamic priority scheduling, Operations research and Fair-share scheduling. The Mathematical optimization study which covers Tardiness that intersects with Optimization problem.
Mostafa Zandieh combines topics linked to Rate-monotonic scheduling with his work on Flow shop scheduling. His study looks at the relationship between Simulated annealing and topics such as Taguchi methods, which overlap with Completion time. As part of one scientific family, Mostafa Zandieh deals mainly with the area of Multi-objective optimization, narrowing it down to issues related to the Pareto principle, and often Genetic algorithm.
Mostafa Zandieh mostly deals with Mathematical optimization, Job shop scheduling, Genetic algorithm, Flow shop scheduling and Simulated annealing. His studies deal with areas such as Algorithm and Tardiness as well as Mathematical optimization. His biological study spans a wide range of topics, including Preventive maintenance, Rate-monotonic scheduling, Fair-share scheduling and Multi-objective optimization.
The various areas that he examines in his Flow shop scheduling study include Evolutionary algorithm, Artificial neural network and Imperialist competitive algorithm. His study looks at the intersection of Simulated annealing and topics like Local search with Local optimum and Hybrid algorithm. His Scheduling research is multidisciplinary, incorporating perspectives in Sequence-dependent setup and Operations research.
His primary areas of study are Mathematical optimization, Operations research, Genetic algorithm, Job shop scheduling and Process. Particularly relevant to Scheduling is his body of work in Mathematical optimization. His Operations research study combines topics from a wide range of disciplines, such as Metaheuristic and Fuzzy logic.
Mostafa Zandieh has researched Genetic algorithm in several fields, including Simulated annealing, Algorithm, Cluster analysis, Robustness and Perfect competition. His Job shop scheduling research incorporates elements of Fuzzy number and Pareto principle. The Process study combines topics in areas such as Production, Work in process, Product and Data science.
Mostafa Zandieh mostly deals with Mathematical optimization, Job shop scheduling, Genetic algorithm, Robustness and Supply chain. As part of his studies on Mathematical optimization, he often connects relevant areas like Fuzzy logic. His work in the fields of Job shop scheduling, such as Flow shop scheduling and Tardiness, overlaps with other areas such as Workload.
His Genetic algorithm study combines topics in areas such as Algorithm and Speedup. His work on Simulated annealing and Premature convergence as part of general Algorithm study is frequently linked to Line, Out-of-kilter algorithm and Water flow, therefore connecting diverse disciplines of science. His work in the fields of Supply chain network overlaps with other areas such as Sustainable distribution and Distribution networks.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
An artificial immune algorithm for the flexible job-shop scheduling problem
A. Bagheri;M. Zandieh;Iraj Mahdavi;M. Yazdani.
Future Generation Computer Systems (2010)
Flexible job-shop scheduling with parallel variable neighborhood search algorithm
M. Yazdani;M. Amiri;M. Zandieh.
Expert Systems With Applications (2010)
An immune algorithm approach to hybrid flow shops scheduling with sequence-dependent setup times
Mostafa Zandieh;S. M. T. Fatemi Ghomi;S. M. Moattar Husseini.
Applied Mathematics and Computation (2006)
Scheduling trucks in cross-docking systems: Robust meta-heuristics
B. Vahdani;M. Zandieh.
Computers & Industrial Engineering (2010)
Multi-objective scheduling of dynamic job shop using variable neighborhood search
M. A. Adibi;M. Zandieh;M. Amiri.
Expert Systems With Applications (2010)
An improved simulated annealing for hybrid flowshops with sequence-dependent setup and transportation times to minimize total completion time and total tardiness
B. Naderi;M. Zandieh;A. Khaleghi Ghoshe Balagh;V. Roshanaei.
Expert Systems With Applications (2009)
Bi-objective optimization research on integrated fixed time interval preventive maintenance and production for scheduling flexible job-shop problem
E. Moradi;S.M.T. Fatemi Ghomi;M. Zandieh.
Expert Systems With Applications (2011)
A new biogeography-based optimization (BBO) algorithm for the flexible job shop scheduling problem
Seyed Habib A. Rahmati;M. Zandieh.
The International Journal of Advanced Manufacturing Technology (2012)
Meta-heuristics implementation for scheduling of trucks in a cross-docking system with temporary storage
A. R. Boloori Arabani;S. M. T. Fatemi Ghomi;M. Zandieh.
Expert Systems With Applications (2011)
A multi objective optimization approach for flexible job shop scheduling problem under random machine breakdown by evolutionary algorithms
Ehsan Ahmadi;Mostafa Zandieh;Mojtaba Farrokh;Seyed Mohammad Emami.
Computers & Operations Research (2016)
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