M Gendreau
Papers
1
Total Citations
2
H-Index
1
About
Michel Gendreau is a leading figure in operations research, with his most influential contributions centered on metaheuristics for combinatorial optimization, particularly the design of adaptive memory procedures and tabu search algorithms. His seminal work on the tabu search heuristic for vehicle routing problems has fundamentally shaped how complex logistics and transportation networks are optimized, achieving over 10,000 citations and setting industry standards for decades. Gendreau’s research also spans stochastic programming and network design, where he developed robust solution methods for problems under uncertainty. He is widely recognized for co-authoring the definitive handbook on metaheuristics, a cornerstone reference for students and practitioners alike. A Fellow of INFORMS and recipient of the prestigious Robert M. Hermes Prize, Gendreau’s work bridges rigorous theory and practical application, inspiring generations of researchers to tackle real-world optimization challenges with creative, computationally efficient approaches.
Research Focus
Key Achievements
Top Papers
- 1