Robust and flexible vehicle routing using Monte-Carlo simulation and metaheuristics
Page 1 of 1
Robust and flexible vehicle routing using Monte-Carlo simulation and metaheuristics
In this research, we investigate how robust and flexible solutions of a number of stochastic variants of the capacitated vehicle routing problem can be obtained. To this end, we develop and discuss a method that combines a sampling based approach to estimate the robustness or flexibility of a solution with a metaheuristic optimization technique. This combination allows us to solve larger problems with more complex stochastic structures than traditional methods based on stochastic programming. It is also more flexible in the sense that adaptation of the approach to more complex problems can be easily done. We explicitly recognize the fact that the decision maker’s risk preference should be taken into account when choosing a robust or flexible solution and show how this can be done using our approach.
kenneth- Posts : 3
Join date : 2009-03-02
Similar topics
» Routing for couriers
» Robust railway timetable for the Belgian Railways.
» Evaluation Environment for Robust Planning in Scheduled Transportation
» Simulation based Realtime-Control of Automated-Guided vehicles - a decentral approach
» Robust railway timetable for the Belgian Railways.
» Evaluation Environment for Robust Planning in Scheduled Transportation
» Simulation based Realtime-Control of Automated-Guided vehicles - a decentral approach
Page 1 of 1
Permissions in this forum:
You cannot reply to topics in this forum
|
|