What is he best known for?
The fields of study he is best known for:
- Operating system
- Mathematical optimization
- Electrical engineering
His primary areas of investigation include Mathematical optimization, Vehicle routing problem, Routing, Stochastic optimization and Operations research.
His Mathematical optimization research is multidisciplinary, relying on both Control system, Pipeline transport and Key.
His Vehicle routing problem study combines topics in areas such as Simulated annealing, Local search, Hybrid algorithm, Real-time computing and Online algorithm.
His work is dedicated to discovering how Routing, Combinatorial optimization are connected with Intelligent decision support system, The Internet, Reservation, Intelligent agent and Management science and other disciplines.
His Stochastic optimization research integrates issues from Regret, Distributed computing and Constraint programming.
His Operations research research includes themes of Multi-objective optimization, Disaster recovery, Heuristic and Backup.
His most cited work include:
- A Two-Stage Hybrid Local Search for the Vehicle Routing Problem with Time Windows (296 citations)
- Scenario-Based Planning for Partially Dynamic Vehicle Routing with Stochastic Customers (276 citations)
- A two-stage hybrid algorithm for pickup and delivery vehicle routing problems with time windows (211 citations)
What are the main themes of his work throughout his whole career to date?
Russell Bent mainly focuses on Mathematical optimization, Electric power system, Operations research, Nonlinear system and Vehicle routing problem.
His Mathematical optimization study combines topics from a wide range of disciplines, such as Transmission and Benchmark.
His research in Electric power system intersects with topics in Reliability engineering, AC power, Electric power transmission, Electric power and Electronic engineering.
Many of his research projects under Nonlinear system are closely connected to Gas compressor with Gas compressor, tying the diverse disciplines of science together.
He interconnects Stochastic optimization and Online algorithm in the investigation of issues within Vehicle routing problem.
The concepts of his Stochastic optimization study are interwoven with issues in Scheduling, Distributed computing and Reservation.
He most often published in these fields:
- Mathematical optimization (39.06%)
- Electric power system (18.23%)
- Operations research (11.46%)
What were the highlights of his more recent work (between 2019-2021)?
- Mathematical optimization (39.06%)
- Nonlinear system (10.42%)
- Pipeline (4.69%)
In recent papers he was focusing on the following fields of study:
His main research concerns Mathematical optimization, Nonlinear system, Pipeline, Benchmark and Electric power system.
Russell Bent combines subjects such as Network planning and design and Embedding with his study of Mathematical optimization.
Russell Bent has included themes like Representation, Bilinear interpolation and Applied mathematics in his Nonlinear system study.
He usually deals with Pipeline and limits it to topics linked to Flow and Electric power transmission.
His Benchmark research incorporates themes from Development, Global optimization, Global optimality, Semidefinite programming and Gravity.
His work carried out in the field of Electric power system brings together such families of science as Distributed generation, Branch and price and Distributed computing.
Between 2019 and 2021, his most popular works were:
- Proving global optimality of ACOPF solutions (5 citations)
- Piecewise polyhedral formulations for a multilinear term (3 citations)
- Communication-Constrained Expansion Planning for Resilient Distribution Systems (2 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Electrical engineering
- Artificial intelligence
The scientist’s investigation covers issues in Pipeline, Mathematical optimization, Electric power system, Benchmark and Process engineering.
His biological study spans a wide range of topics, including Function, Flow, Electric power transmission and Electric power.
His Mathematical optimization study integrates concerns from other disciplines, such as Development and Gravity.
His Electric power system research includes elements of Distributed generation, Branch and price, Distributed computing and Cyber-physical system.
His Benchmark research incorporates elements of Linear programming, Nonlinear system, Bilinear interpolation and Relaxation.
His studies in Process engineering integrate themes in fields like Energy consumption and Control.
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