| Autor: |
EKİZ, MELİKE KÜBRA, BOZDEMİR, MUHAMMET, TÜRKKAN, BURCU ÖZCAN |
| Předmět: |
|
| Zdroj: |
Journal of Engineering Studies & Research; 2019, Vol. 25 Issue 2, p18-24, 7p |
| Abstrakt: |
The Vehicle Routing Problem (VRP), which has many sub-branches, is a difficult problem that cannot be solved using classical methods. This study includes a case study for Service Routing Problem, which is one of the sub-branches of VRP. The case study is a problem of determining service routes for staffs of a company. In this context, we first assigned the employees to the stations, and then we reached a solution using the route firstcluster second heuristic method. We used the Genetic Algorithm (GA) to improve the route and compared the results by creating different scenarios in clustering methods. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
