Vehicle Routing Problem with Time Windows, Part II: Metaheuristics
By Olli Bräysy, Michel Gendreau. Transportation Science, 2005
913 citations recorded by the source corpus.
Subfields: Automotive Engineering, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/5f570293aebe3802a839a6c782e28a4d5f75b33f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Thibaut Vidal
- Christian Prins
- Michael Schneider
- Teodor Gabriel Crainic
- Michel Gendreau
- Dominik Goeke
- Poorya Farahani
- Martin Grunow
In Industrial and Manufacturing Engineering
- Michael Schneider
- Thibaut Vidal
- Teodor Gabriel Crainic
- Christian Prins
- Michel Gendreau
- Dominik Goeke
- Rahma Lahyani
- Mahdi Khemakhem
Citations in the corpus
- A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows (2013, methodology): “As illustrated by numerous reviews (Bräysy and Gendreau 2005b,a, Francis et al. 2008, Gendreau et al. 2008, Gendreau and Tarantilis 2010, for the most recent), almost every prominent meta-heuristic paradigm, including evolutionary methods, ant colony optimization, tabu search, simulated annealing ,…”
- The vehicle routing problem: State of the art classification and review (2016, background): “…variants or aspects of the VRP, e.g. the capacitated VRP (Laporte, 2009), periodic VRPs (Campbell & Wilson, 2014), the VRP with time windows (Bräysy & Gendreau, 2005a, 2005b; Gendreau & Tarantilis, 2010), dynamic VRPs (Pillac, Gendreau, Guéret, & Medaglia, 2013), pickup and delivery…”
- Rich vehicle routing problems: From a taxonomy to a definition (2015, background): “Bräysy and Gendreau (2005a, 2005b), Kallehauge, Larsen, Madsen, and Solomon (2005), Kallehauge (2008), and Gendreau and Tarantilis (2010) propose recent surveys on this problem.”
- The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations (2014, background): “In the VRPTW, service at a customer has to start within a given time interval, which is a highly relevant constraint in real-world routing applications (see, e.g., Bräysy and Gendreau 2005a).”
- Multi-Objective Genetic Algorithms for Vehicle Routing Problem with Time Windows (2006, background): “As a result, variants of VRP have been studied extensively in the literature (for detailed reviews, see [1-4]).”
- Quality, safety and sustainability in food distribution: a review of quantitative operations management approaches and challenges (2010, methodology): “For a detailed discussion of solution methods, we refer to Bräysy and Gendreau (2005b) or Tarantilis et al. (2005).”
- Static repositioning in a bike-sharing system: models and solution approaches (2013, methodology): “Another possible approach is to use heuristic methods such as Tabu search or genetic algorithm that exhibited good performances in other large-scale rich routing problems, see, e.g., Bräysy and Gendreau (2005).”