|
DSpace en la Universidad de los Andes >
Ingeniería >
Centro para la Optimización y Probabilidad Aplicada, COPA >
Working Papers >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1992/1050
|
| Title: | An evolutionary-based decision support system for vehicle routing: the case of a public utility |
| Authors: | Mendoza, Jorge E.
Medaglia, Andrés L.
Velasco, Nubia |
| Issue Date: | 12-Sep-2007 |
| Series/Report no.: | COPA
2007 - 4 - 2 |
| Abstract: | Customer-related processes in a public utility, such as meter replacement programs, demand a large number of auditing visits to customer sites. The proposed decision support system (DSS) helps the operating manager to plan these visits by integrating commercial systems such as SAP/R3 and ArcGIS with a custom-made distance-constrained routing module. This module includes a modified Clarke and Wright savings heuristic and two memetic algorithms, along with two integer-programming clustering models whose function is to balance the workload. The system was tested on ten real-world distance-constrained vehicle routing instances ranging from 323 to 601 nodes. |
| URI: | http://hdl.handle.net/1992/1050 |
| Appears in Collections: | Working Papers
|
Files in This Item:
| File |
Description |
Size | Format |
|---|
| DSpace-DVRP-EAAB.htm | | 1Kb | HTML | View/Open |
|
All items in DSpace are protected by copyright, with all rights reserved.
|
