What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Artificial intelligence
- Algorithm
His primary areas of investigation include Vehicle routing problem, Mathematical optimization, Tabu search, Routing and Heuristics.
His studies in Vehicle routing problem integrate themes in fields like Metaheuristic, Set, Static routing, Scheduling and Operations research.
The study incorporates disciplines such as Algorithm and Benchmark in addition to Mathematical optimization.
His work on Guided Local Search as part of general Tabu search research is frequently linked to Fixed charge, thereby connecting diverse disciplines of science.
His Routing study combines topics from a wide range of disciplines, such as Column generation, Exact algorithm, Exploit and Shortest path problem.
In his study, which falls under the umbrella issue of Heuristics, Scheduling, Nurse scheduling problem and Production manager is strongly linked to Heuristic.
His most cited work include:
- A tabu search heuristic for the vehicle routing problem (1035 citations)
- Vehicle Routing Problem with Time Windows, Part I: Route Construction and Local Search Algorithms (878 citations)
- A Tabu Search Heuristic for the Vehicle Routing Problem with Soft Time Windows (768 citations)
What are the main themes of his work throughout his whole career to date?
Michel Gendreau mostly deals with Mathematical optimization, Vehicle routing problem, Tabu search, Operations research and Routing.
His Mathematical optimization study incorporates themes from Algorithm, Set and Benchmark.
His Vehicle routing problem study deals with Column generation intersecting with Shortest path problem and Branch and price.
His research in Tabu search intersects with topics in Tabu search heuristic, Scheduling and Combinatorial optimization.
Michel Gendreau frequently studies issues relating to Service and Routing.
His Heuristics research is multidisciplinary, incorporating elements of Travelling salesman problem and Heuristic.
He most often published in these fields:
- Mathematical optimization (56.77%)
- Vehicle routing problem (28.29%)
- Tabu search (18.53%)
What were the highlights of his more recent work (between 2014-2021)?
- Mathematical optimization (56.77%)
- Vehicle routing problem (28.29%)
- Routing (19.72%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Mathematical optimization, Vehicle routing problem, Routing, Operations research and Stochastic programming.
His Mathematical optimization study frequently draws parallels with other fields, such as Job shop scheduling.
His Vehicle routing problem research integrates issues from Synchronization, Cross-docking and Benchmark.
His study looks at the relationship between Routing and topics such as Branch and price, which overlap with Column generation and Shortest path problem.
His Operations research study often links to related topics such as Scheduling.
Michel Gendreau has included themes like Decision rule and Affine transformation in his Stochastic programming study.
Between 2014 and 2021, his most popular works were:
- The Benders decomposition algorithm: A literature review (225 citations)
- The Benders decomposition algorithm: A literature review (225 citations)
- Time-dependent routing problems (112 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Computer network
- Artificial intelligence
His primary areas of study are Mathematical optimization, Vehicle routing problem, Routing, Operations research and Heuristics.
Mathematical optimization is represented through his Heuristic, Combinatorial optimization, Stochastic programming, Column generation and Benders' decomposition research.
His Combinatorial optimization research incorporates elements of Periodic vehicle routing problem, Combinatorial optimization problem and Metaheuristic.
Michel Gendreau has researched Vehicle routing problem in several fields, including Set, Benchmark, Destination-Sequenced Distance Vector routing, Extension and Synchronization.
His Routing research incorporates themes from Real-time computing, Shortest path problem, Time horizon and Service.
Michel Gendreau interconnects Key, Tabu search and Transportation theory in the investigation of issues within Operations research.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
