A variable neighborhood search heuristic for periodic routing problems
By Vera C. Hemmelmayr, Karl F. Doerner, Richard F. Hartl. European Journal of Operational Research, 2009
334 citations recorded by the source corpus.
Subfields: Automotive Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/340facf78c57c91ca6fdbc32982f1df702dd8804
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
In Computer Vision and Pattern Recognition
In Industrial and Manufacturing Engineering
- Michael Schneider
- Dominik Goeke
- Rahma Lahyani
- Mahdi Khemakhem
- Frédéric Semet
- Andreas Stenger
- Gilbert Laporte
Citations in the corpus
- Electric Vehicle Routing and Charging/Discharging under Time-Variant Electricity Prices (2020, background): “To further diversify the search, S ′′ is also accepted with a probability of e [ fgen(S)−fgen(S ′′ ) Temp ] if it is worse than the current solution S (Schneider et al. 2014, Hemmelmayr et al. 2009, Stenger et al. 2013).”
- Rich vehicle routing problems: From a taxonomy to a definition (2015, background): “A vast literature is dedicated to the PVRP, see e.g., Cordeau, Gendreau, and Laporte (1997), Francis and Smilowitz (2006), Hemmelmayr, Doerner, and Hartl (2009), Wen, Cordeau, Laporte, and Larsen (2010), Baldacci, Bartolini, Mingozzi, and Valletta (2011), Gulczynski, Golden, and Wasil (2011), Vidal…”
- The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations (2014, methodology): “…the VNS defined by the number of involved route #Rts and the maximum number of translocated vertices Γ max . or a variant that is restricted to two routes, called cross-exchange, are commonly used in the perturbation phase of VNS-algorithms (see, e.g, Polacek et al. 2004, Hemmelmayr et al. 2009).”