2022 - Research.com Mathematics in Canada Leader Award
2010 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
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.
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.
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.
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.
A tabu search heuristic for the vehicle routing problem
Michel Gendreau;Alain Hertz;Gilbert Laporte.
Management Science (1994)
Vehicle Routing Problem with Time Windows, Part I: Route Construction and Local Search Algorithms
Olli Bräysy;Michel Gendreau.
Transportation Science (2005)
A Tabu Search Heuristic for the Vehicle Routing Problem with Soft Time Windows
Éric D. Taillard;Philippe Badeau;Michel Gendreau;François Guertin.
Transportation Science (1997)
Handbook of Metaheuristics
Michel Gendreau;Jean-Yves Potvin.
(2010)
A tabu search heuristic for periodic and multi-depot vehicle routing problems
Jean-François Cordeau;Michel Gendreau;Gilbert Laporte.
Networks (1997)
Classical and modern heuristics for the vehicle routing problem
Gilbert Laporte;Michel Gendreau;Jean-Yves Potvin;Frédéric Semet.
International Transactions in Operational Research (2000)
A review of dynamic vehicle routing problems
Victor Pillac;Victor Pillac;Michel Gendreau;Christelle Guéret;Andrés L. Medaglia.
European Journal of Operational Research (2013)
Vehicle Routing Problem with Time Windows, Part II: Metaheuristics
Olli Bräysy;Michel Gendreau.
Transportation Science (2005)
Hyper-heuristics: a survey of the state of the art
Edmund K. Burke;Michel Gendreau;Matthew R. Hyde;Graham Kendall.
Journal of the Operational Research Society (2013)
A guide to vehicle routing heuristics
Jean-François Cordeau;Michel Gendreau;Gilbert Laporte;Jean-Yves Potvin.
Journal of the Operational Research Society (2002)
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