Abstract
This paper presents the framework SIM-EPSO for solving the Single Vehicle Routing Problem with Stochastic Demands (VRPSD) with preventive restocking, developing the hybrid metaheuristic Evolutionary Particle Swarm Optimization (EPSO) and Monte Carlo simulation for computing the objective function. In addition, an experimental design was used with the purpose of determining the impact of the VRPSD parameters on the objective function. Moreover, we constructed a test bed in order to measure the quality of the solutions found in the SIM-EPSO, which they were contrasted with the basic version of the metaheuristic PSO. The computational results obtained show the efficiency of the proposed framework to find better solutions regarding the PSO in a computational time competitive.
| Translated title of the contribution | A simulation-optimization approach based on EPSO for the vehicle routing problem with stochastic demands |
|---|---|
| Original language | English |
| Pages (from-to) | 60-69 |
| Number of pages | 10 |
| Journal | DYNA (Colombia) |
| Volume | 80 |
| Issue number | 179 |
| State | Published - 2013 |
| Externally published | Yes |
Keywords
- Evolutionary PSO
- Monte carlo simulation
- VRPSD