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@ -6,7 +6,7 @@ It is lightweight and easy-to-use, and based on heuristics currently solving
- <a href="http://neo.lcc.uma.es/vrp/vrp-flavors/multiple-depot-vrp/" target="_blank">Multiple Depot VRP</a> - <a href="http://neo.lcc.uma.es/vrp/vrp-flavors/multiple-depot-vrp/" target="_blank">Multiple Depot VRP</a>
- <a href="http://neo.lcc.uma.es/vrp/vrp-flavors/vrp-with-time-windows" target="_blank">VRP with time windows</a> - <a href="http://neo.lcc.uma.es/vrp/vrp-flavors/vrp-with-time-windows" target="_blank">VRP with time windows</a>
- VRP with Backhauls - VRP with Backhauls
- VRP with Pickups and Deliveries (where either pickup or delivery has to be conducted at depot) - VRP with Pickups and Deliveries*
- VRP with heterogeneous fleet - VRP with heterogeneous fleet
- Time-dependent VRP - Time-dependent VRP
- Various combination of these types - Various combination of these types
@ -18,6 +18,8 @@ Additionally, jsprit can be used along with <a href="http://www.matsim.org" targ
to solve the above problem-types in real networks (i.e. without preprocessing transport times and costs). A variety of least cost path algorithms such as Dijkstra and A* to solve the above problem-types in real networks (i.e. without preprocessing transport times and costs). A variety of least cost path algorithms such as Dijkstra and A*
can be used, and a dynamic and interactive visualiser greatly enhances the analysis. can be used, and a dynamic and interactive visualiser greatly enhances the analysis.
*either pickup or delivery has to be conducted at the depot
##In Development ##In Development
- VRP with Backhauls - VRP with Backhauls
- Pickup and Delivery - Pickup and Delivery