A modular implementation of the Vehicle Routing Problem solver using Genetic Algorithms with the DEAP library. This project includes parameter tuning capabilities and comprehensive visualization tools ...

A Python implementation of a Genetic Algorithm to solve the Vehicle Routing Problem (VRP). This project demonstrates how to find optimal or near-optimal routes for multiple vehicles to serve a set of ...

Abstract: It is necessary to consider the maximum load of truck and replenishment location in the regions-integrated distribution routes planning. After stating the assumptions, a mixed integer ...

Abstract: Traditional algorithms of VRP often did not consider the loading rate of vehicle, which will partially effects the fuel consumption of the vehicle. So if considering the fuel consumption, ...