Name
Title | ||
|---|---|---|
An Adaptive Large Neighborhood Search for relocating vehicles in electric carsharing services. |
Abstract | ||
|---|---|---|
We propose an Adaptive Large Neighborhood Search metaheuristic to solve a vehicle relocation problem arising in the management of electric carsharing systems. The solution approach, aimed to optimize the total profit, is tested on three real-like benchmark sets of instances. It is compared with a Tabu Search, ad hoc designed for this work, with a previous Ruin and Recreate metaheuristic and with the optimal results obtained via Mixed Integer Linear Programming. We also develop bounding procedures to evaluate the solution quality when the optimal solution is not available. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.dam.2018.03.067 | Discrete Applied Mathematics |
Keywords | Field | DocType |
One-way carsharing,Operator-based relocation,Profit optimization,Pick-up and delivery problem,Ruin and Recreate metaheuristic,Tabu search | Relocation,Discrete mathematics,Mathematical optimization,Integer programming,Mathematics,Tabu search,Metaheuristic,Large neighborhood search,Bounding overwatch | Journal |
Volume | ISSN | Citations |
253 | 0166-218X | 0 |
PageRank | References | Authors |
0.34 | 21 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maurizio Bruglieri | 1 | 110 | 13.34 |
| Ferdinando Pezzella | 2 | 35 | 3.65 |
| Ornella Pisacane | 3 | 116 | 10.20 |