2023 - Research.com Mathematics in Iran Leader Award
2022 - Research.com Engineering and Technology in Iran Leader Award
2022 - Research.com Mathematics in Iran Leader Award
Reza Tavakkoli-Moghaddam bridges between several scientific fields such as Scheduling (production processes) and Genetic algorithm in his study of Mathematical optimization. His Artificial intelligence study frequently draws connections to other fields, such as Fuzzy logic and Selection (genetic algorithm). Selection (genetic algorithm) and Artificial intelligence are frequently intertwined in his study. While working on this project, Reza Tavakkoli-Moghaddam studies both Algorithm and Machine learning. He conducts interdisciplinary study in the fields of Machine learning and Algorithm through his research. He integrates Operations research with Mathematical optimization in his study. His Vehicle routing problem research extends to the thematically linked field of Computer network. Reza Tavakkoli-Moghaddam combines topics linked to Routing (electronic design automation) with his work on Vehicle routing problem. Routing (electronic design automation) is often connected to Computer network in his work.
In the subject of general Supply chain, his work in Marketing is often linked to Operations research, thereby combining diverse domains of study. He integrates Marketing with Supply chain in his research. In his articles, he combines various disciplines, including Operations research and Mathematical optimization. He conducts interdisciplinary study in the fields of Mathematical optimization and Scheduling (production processes) through his research. He merges Artificial intelligence with Fuzzy logic in his research. In his works, Reza Tavakkoli-Moghaddam undertakes multidisciplinary study on Fuzzy logic and Artificial intelligence. Reza Tavakkoli-Moghaddam undertakes interdisciplinary study in the fields of Algorithm and Genetic algorithm through his research. His multidisciplinary approach integrates Genetic algorithm and Algorithm in his work. Many of his studies on Operating system apply to Schedule as well.
His Artificial intelligence study frequently draws parallels with other fields, such as Fuzzy logic and Heuristic. Reza Tavakkoli-Moghaddam undertakes interdisciplinary study in the fields of Fuzzy logic and Artificial intelligence through his works. While working on this project, Reza Tavakkoli-Moghaddam studies both Heuristic and Algorithm. He integrates many fields, such as Algorithm and Sorting, in his works. In his study, he carries out multidisciplinary Operations research and Industrial engineering research. Reza Tavakkoli-Moghaddam combines Mathematical optimization and Scheduling (production processes) in his research. In his works, he conducts interdisciplinary research on Scheduling (production processes) and Mathematical optimization. His research on Marketing often connects related topics like Supply chain network. Reza Tavakkoli-Moghaddam integrates many fields in his works, including Supply chain network and Supply chain management.
In his research on the topic of Stackelberg competition, Supply and demand is strongly related with Microeconomics. His study explores the link between Demography and topics such as Population that cross with problems in Environmental health. His Environmental health study frequently draws connections between related disciplines such as Population. His Online and offline research focuses on Operating system and how it connects with Heuristics. His Heuristics study frequently links to related topics such as Operating system. Reza Tavakkoli-Moghaddam works mostly in the field of TOPSIS, limiting it down to topics relating to Operations research and, in certain cases, Location-allocation and Inventory control, as a part of the same area of interest. His multidisciplinary approach integrates Inventory control and Supply chain management in his work. Reza Tavakkoli-Moghaddam connects Supply chain management with Supply chain network in his study. In his works, Reza Tavakkoli-Moghaddam undertakes multidisciplinary study on Mathematical optimization and Stochastic programming.
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A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level
Majid Ramezani;Mahdi Bashiri;Reza Tavakkoli-Moghaddam.
Reliability optimization of series-parallel systems with a choice of redundancy strategies using a genetic algorithm
Reza Tavakkoli-Moghaddam;Reza Tavakkoli-Moghaddam;Jalal Safari;Farrokh Sassani.
Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty
M. Zhalechian;R. Tavakkoli-Moghaddam;R. Tavakkoli-Moghaddam;B. Zahiri;M. Mohammadi.
Reliable design of a forward/reverse logistics network under uncertainty: A robust-M/M/c queuing model
Behnam Vahdani;Reza Tavakkoli-Moghaddam;Mohammad Modarres;Armand Baboli.
Red deer algorithm (RDA): a new nature-inspired meta-heuristic
Amir Mohammad Fathollahi-Fard;Mostafa Hajiaghaei-Keshteli;Reza Tavakkoli-Moghaddam;Reza Tavakkoli-Moghaddam.
Group decision making based on novel fuzzy modified TOPSIS method
Behnam Vahdani;S. Meysam Mousavi;Reza Tavakkoli-Moghaddam.
A novel two-phase group decision making approach for construction project selection in a fuzzy environment
S. Ebrahimnejad;S.M. Mousavi;R. Tavakkoli-Moghaddam;H. Hashemi.
Solving a group layout design model of a dynamic cellular manufacturing system with alternative process routings, lot splitting and flexible reconfiguration by simulated annealing
R. Kia;A. Baboli;N. Javadian;R. Tavakkoli-Moghaddam.
A HYBRID MULTI-OBJECTIVE IMMUNE ALGORITHM FOR A FLOW SHOP SCHEDULING PROBLEM WITH BI-OBJECTIVES: WEIGHTED MEAN COMPLETION TIME AND WEIGHTED MEAN TARDINESS
Reza Tavakkoli-Moghaddam;Alireza Rahimi-Vahed;Ali Hossein Mirzaei.
The Social Engineering Optimizer (SEO)
Amir Mohammad Fathollahi-Fard;Mostafa Hajiaghaei-Keshteli;Reza Tavakkoli-Moghaddam.
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