H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Mathematics H-index 86 Citations 33,034 261 World Ranking 44 National Ranking 3
Computer Science H-index 83 Citations 35,580 282 World Ranking 360 National Ranking 14

Research.com Recognitions

Awards & Achievements

2010 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

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.

Top Publications

A tabu search heuristic for the vehicle routing problem

Michel Gendreau;Alain Hertz;Gilbert Laporte.
Management Science (1994)

1738 Citations

Vehicle Routing Problem with Time Windows, Part I: Route Construction and Local Search Algorithms

Olli Bräysy;Michel Gendreau.
Transportation Science (2005)

1328 Citations

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)

1237 Citations

Handbook of Metaheuristics

Michel Gendreau;Jean-Yves Potvin.
(2010)

1107 Citations

A tabu search heuristic for periodic and multi-depot vehicle routing problems

Jean-François Cordeau;Michel Gendreau;Gilbert Laporte.
Networks (1997)

1064 Citations

Classical and modern heuristics for the vehicle routing problem

Gilbert Laporte;Michel Gendreau;Jean-Yves Potvin;Frédéric Semet.
International Transactions in Operational Research (2000)

1018 Citations

A review of dynamic vehicle routing problems

Victor Pillac;Victor Pillac;Michel Gendreau;Christelle Guéret;Andrés L. Medaglia.
European Journal of Operational Research (2013)

979 Citations

Vehicle Routing Problem with Time Windows, Part II: Metaheuristics

Olli Bräysy;Michel Gendreau.
Transportation Science (2005)

978 Citations

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)

962 Citations

A guide to vehicle routing heuristics

Jean-François Cordeau;Michel Gendreau;Gilbert Laporte;Jean-Yves Potvin.
Journal of the Operational Research Society (2002)

863 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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