2008
DOI: 10.1057/palgrave.jors.2602405
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A tabu search algorithm for the periodic vehicle routing problem with multiple vehicle trips and accessibility restrictions

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Cited by 86 publications
(53 citation statements)
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“…Mourgaya and Vanderbeck (2007) presented a column generation procedure followed by a rounding heuristic to solve a PVRP with two objectives: minimizing total distance travelled and balance workload among vehicles. Other heuristic applications to PVRP can be found in Christofides and Beasley (1984), Gaudioso and Paletta (1992), Chao et al (1995), Cordeau et al (1997) and Alonso et al (2008), to name a few.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Mourgaya and Vanderbeck (2007) presented a column generation procedure followed by a rounding heuristic to solve a PVRP with two objectives: minimizing total distance travelled and balance workload among vehicles. Other heuristic applications to PVRP can be found in Christofides and Beasley (1984), Gaudioso and Paletta (1992), Chao et al (1995), Cordeau et al (1997) and Alonso et al (2008), to name a few.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Olivera and Viera [2007] described an adaptive memory heuristic algorithm. Different tabu search algorithms were proposed by Alonso et al [2008], Mercer [1997, 1998]. A real life application of the MTVRP is described in Gribkovskaia et al [2006].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Although the MTVRP clearly has practical importance, the problem has not received much attention in the literature (Azi, Gendreau, & Potvin, 2007). Among the related studies, Alonso, Alvarez, and Beasley (2008), Mingozzi, Roberti, and Toth (2013), Olivera and Viera (2007), Petch and Salhi (2003), Salhi and Petch (2007), and Taillard, Laporte, and Gendreau (1996) simply examined a multi-trip extension of the original VRP. Azi et al (2007), Azi, Gendreau, and Potvin (2010), Brandão and Mercer (1997, 1998), and Tang, Yu, and Li (2015 incorporated multiple vehicle uses into the VRPTW to formulate a multi-trip VRPTW (MTVRPTW).…”
Section: Introductionmentioning
confidence: 99%