The algorithm first creates drivers' routes using a constructive method, and then improves those routes through local search. These two procedures are embedded in a multistart loop. Vehicles' routes are then derived from the best set of drivers' routes to end up with a feasible DVRP solution.
Request PDF | An efficient multistart heuristic for the driver and vehicle routing problem | This paper addresses the Driver and Vehicle Routing Problem, ...
Abstract. This paper explores the Driver and Vehicle Routing Problem with two depots and one exchange location where drivers switch vehicles so that both ...
An efficient multistart heuristic for the driver and vehicle routing problem
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An efficient multistart heuristic for the driver and vehicle routing problem ... Crevier, The multi-depot vehicle routing problem with inter-depot routes, ...
An efficient multistart heuristic for the driver and vehicle routing problem ; Computers & operations research : and their applications to problems of world ...
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(Kim et al., 2010) study a problem in which manpower teams must be transported by vehicles to perform multi-stage tasks at customer locations. There are ...
An efficient multistart heuristic for the driver and vehicle routing problem. Abstract. This paper addresses the Driver and Vehicle Routing Problem, a complex ...
2011), or recombine solution elements (Gro¨er and Golden 2011). Parallelism and cooperation. With the exception of multi-start methods that can. be considered ...
Mar 1, 2023 · A self-tuning heuristic for a multi-objective vehicle routing problem. Journal of the Operational Research Society. 59, 988–996. 34. Page 35 ...
Jan 7, 2020 · An efficient multistart heuristic for the driver and vehicle routing problem. Abstract. This paper addresses the Driver and Vehicle Routing ...