What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Algorithm
- Linear programming
His main research concerns Mathematical optimization, Column generation, Vehicle routing problem, Routing and Shortest path problem.
His study on Mathematical optimization is mostly dedicated to connecting different topics, such as Crew.
Guy Desaulniers has researched Column generation in several fields, including Tabu search, Scheduling, Job shop scheduling, Simulation and Integer programming.
His work carried out in the field of Integer programming brings together such families of science as Dynamic priority scheduling and Fair-share scheduling.
His Vehicle routing problem research incorporates elements of Crew scheduling, Transportation theory, Automotive engineering and Relaxation.
His Routing research is multidisciplinary, incorporating elements of Resource, Algorithm and Branch and price.
His most cited work include:
- Shortest Path Problems with Resource Constraints (409 citations)
- A Unified Framework for Deterministic Time Constrained Vehicle Routing and Crew Scheduling Problems (208 citations)
- VRP with Time Windows (199 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Mathematical optimization, Column generation, Vehicle routing problem, Operations research and Routing.
His Mathematical optimization research incorporates themes from Algorithm, Scheduling, Job shop scheduling and Crew.
His biological study spans a wide range of topics, including Crew scheduling, Tabu search, Assignment problem, Heuristic and Branch and price.
His Vehicle routing problem study which covers Reduced cost that intersects with Benchmark.
Guy Desaulniers has included themes like Revenue, Time horizon, Integer programming and Inventory routing problem in his Operations research study.
His studies deal with areas such as Simulation and Workover as well as Routing.
He most often published in these fields:
- Mathematical optimization (59.34%)
- Column generation (35.90%)
- Vehicle routing problem (28.57%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical optimization (59.34%)
- Column generation (35.90%)
- Vehicle routing problem (28.57%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Mathematical optimization, Column generation, Vehicle routing problem, Operations research and Job shop scheduling.
His Mathematical optimization study typically links adjacent topics like Preference.
His Column generation study combines topics from a wide range of disciplines, such as Crew scheduling, Crew pairing and Crew.
His Vehicle routing problem study combines topics in areas such as Algorithm, Orientation and Path.
He combines subjects such as Reliability, Preference and Time horizon with his study of Operations research.
His work in Job shop scheduling addresses subjects such as Optimization problem, which are connected to disciplines such as Scheduling.
Between 2018 and 2021, his most popular works were:
- Exact Branch-Price-and-Cut Algorithms for Vehicle Routing (26 citations)
- Column generation for vehicle routing problems with multiple synchronization constraints (10 citations)
- A Branch-Price-and-Cut Algorithm for a Production-Routing Problem with Short-Life-Span Products (6 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Algorithm
- Linear programming
Guy Desaulniers mainly focuses on Column generation, Mathematical optimization, Heuristic, Job shop scheduling and Schedule.
As part of the same scientific family, Guy Desaulniers usually focuses on Column generation, concentrating on Crew and intersecting with Node and Search tree.
In general Mathematical optimization, his work in Scheduling and Travelling salesman problem is often linked to Hydropower, Scalability and Time windows linking many areas of study.
His work deals with themes such as Scheduling and Branch and price, which intersect with Heuristic.
His Branch and price research integrates issues from Routing, Vehicle routing problem and Distributed computing.
His research in Operations research intersects with topics in Crew scheduling and Time horizon.
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