What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Algorithm
- Manufacturing
Bahman Naderi mostly deals with Mathematical optimization, Job shop scheduling, Simulated annealing, Metaheuristic and Flow shop scheduling.
His Mathematical optimization research is multidisciplinary, incorporating elements of Taguchi methods, Sequence-dependent setup and Completion time.
He has researched Job shop scheduling in several fields, including Integer programming and Minification.
His Simulated annealing study frequently draws connections to other fields, such as Tardiness.
His research in Flow shop scheduling intersects with topics in Algorithm and Heuristics.
His Scheduling study incorporates themes from Effective algorithm and Iterated greedy.
His most cited work include:
- The distributed permutation flowshop scheduling problem (209 citations)
- An improved simulated annealing for hybrid flowshops with sequence-dependent setup and transportation times to minimize total completion time and total tardiness (140 citations)
- A scatter search algorithm for the distributed permutation flowshop scheduling problem (126 citations)
What are the main themes of his work throughout his whole career to date?
Bahman Naderi mainly investigates Mathematical optimization, Job shop scheduling, Metaheuristic, Flow shop scheduling and Scheduling.
As a member of one scientific family, Bahman Naderi mostly works in the field of Mathematical optimization, focusing on Tardiness and, on occasion, Linear programming.
His studies deal with areas such as Decision variables, Preventive maintenance, Tabu search, Minification and Heuristics as well as Job shop scheduling.
In his study, Open-shop scheduling is inextricably linked to Open shop, which falls within the broad field of Metaheuristic.
The study incorporates disciplines such as Iterated local search, Algorithm and Rate-monotonic scheduling in addition to Flow shop scheduling.
He combines subjects such as Parallel computing, Real-time computing and Fair-share scheduling with his study of Scheduling.
He most often published in these fields:
- Mathematical optimization (72.00%)
- Job shop scheduling (38.67%)
- Metaheuristic (29.33%)
What were the highlights of his more recent work (between 2019-2021)?
- Mathematical optimization (72.00%)
- Benders' decomposition (6.67%)
- Algorithm (24.00%)
In recent papers he was focusing on the following fields of study:
Bahman Naderi spends much of his time researching Mathematical optimization, Benders' decomposition, Algorithm, Scheduling and Operations research.
His study in the field of Integer programming, Combinatorial optimization and Relaxation also crosses realms of Schedule and Circular economy.
The various areas that Bahman Naderi examines in his Benders' decomposition study include Theory of computation and Job shop scheduling.
His study in the fields of Machine scheduling under the domain of Job shop scheduling overlaps with other disciplines such as Time limit.
His study in Algorithm is interdisciplinary in nature, drawing from both Decision variables and Optimisation algorithm.
His Scheduling study frequently draws connections between related disciplines such as Flow shop scheduling.
Between 2019 and 2021, his most popular works were:
- Multi-Objective Stochastic Fractal Search: a powerful algorithm for solving complex multi-objective optimization problems (15 citations)
- Decomposition algorithms for the integrated process planning and scheduling problem (13 citations)
- Decomposition algorithms for the integrated process planning and scheduling problem (13 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Algorithm
- Manufacturing
His main research concerns Benders' decomposition, Algorithm, Mathematical optimization, Job shop scheduling and Critical path method.
His work on Optimization problem and Metaheuristic as part of general Algorithm study is frequently linked to Fractal, therefore connecting diverse disciplines of science.
His Mathematical optimization research incorporates elements of Theory of computation, Supply chain network and Fuzzy logic.
As part of his studies on Job shop scheduling, Bahman Naderi frequently links adjacent subjects like Decision variables.
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