What is he best known for?
The fields of study he is best known for:
- Programming language
- Mathematical optimization
- Algorithm
His main research concerns Metaheuristic, Mathematical optimization, Vehicle routing problem, Routing and Operations research.
His work carried out in the field of Metaheuristic brings together such families of science as Combinatorial optimization, Industrial engineering and GRASP.
His biological study spans a wide range of topics, including Set and Benchmark.
His Vehicle routing problem research includes themes of Evolutionary algorithm, Simulated annealing, Travelling salesman problem and Random search.
In his study, Heuristic and Column generation is strongly linked to Simulation, which falls under the umbrella field of Routing.
The study incorporates disciplines such as Quality, Operations management, Resource and Service in addition to Operations research.
His most cited work include:
- Metaheuristics—the metaphor exposed (419 citations)
- Metaheuristics for Multiobjective Optimisation (128 citations)
- MA|PM: memetic algorithms with population management (101 citations)
What are the main themes of his work throughout his whole career to date?
Kenneth Sörensen focuses on Mathematical optimization, Metaheuristic, Vehicle routing problem, Operations research and Local search.
His studies in Mathematical optimization integrate themes in fields like Routing, Set, Selection and Benchmark.
His studies deal with areas such as Optimization problem, Solver, Combinatorial optimization and GRASP as well as Metaheuristic.
His research integrates issues of Heuristic, Multi-objective optimization, Travelling salesman problem, Heuristics and Heuristic in his study of Vehicle routing problem.
His Operations research study combines topics from a wide range of disciplines, such as Quality and Operations management.
His Algorithm study combines topics in areas such as Variable and Optimal design.
He most often published in these fields:
- Mathematical optimization (45.15%)
- Metaheuristic (44.30%)
- Vehicle routing problem (29.54%)
What were the highlights of his more recent work (between 2016-2021)?
- Metaheuristic (44.30%)
- Mathematical optimization (45.15%)
- Vehicle routing problem (29.54%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Metaheuristic, Mathematical optimization, Vehicle routing problem, Operations research and Local search.
His Metaheuristic research is included under the broader classification of Artificial intelligence.
His research investigates the connection between Mathematical optimization and topics such as Routing that intersect with problems in Heuristic and Set.
His Vehicle routing problem research includes elements of Multi-objective optimization, Travelling salesman problem, Solver and Heuristic.
His work carried out in the field of Operations research brings together such families of science as Quality, Iterated local search and Flow network.
His Local search research incorporates elements of Budget constraint, Theoretical computer science, Service and Enumeration.
Between 2016 and 2021, his most popular works were:
- A History of Metaheuristics. (45 citations)
- Simulation of B2C e-commerce distribution in Antwerp using cargo bikes and delivery points (42 citations)
- Multi-objective optimisation models for the travelling salesman problem with horizontal cooperation (19 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Algorithm
- Artificial intelligence
His primary areas of investigation include Vehicle routing problem, Mathematical optimization, Metaheuristic, Operations research and Heuristic.
His Vehicle routing problem research integrates issues from Multi-objective optimization and Travelling salesman problem.
His study involves Heuristics, Heuristic and Combinatorial optimization problem, a branch of Mathematical optimization.
The concepts of his Metaheuristic study are interwoven with issues in Management science and Industrial engineering.
His Operations research study incorporates themes from Quality, Marginal profit and Combinatorial auction.
His Heuristic study integrates concerns from other disciplines, such as Local search and Combinatorial optimization.
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