Abstract: The Vehicle Routing Problem (VRP ... a set of vehicles in real time minimizing the total travel distance. The main goal of this research is to find a solution of DVRP using genetic algorithm ...

Therefore, based on the quantitative study of the relationship between the performance of a deep learning prediction algorithm ... vector-prototype contrastive loss, the model can autonomously manage ...

The code opens a window which can be used for solving vehicle routing problems. There is three heuristic solution methods to solve VRP, which are Simulated Annealing, Tabu Search, and Genetic ...

Abstract: We show that deadlocks due to dependencies on consumption channels are a fundamental problem in wormhole multicast routing. This type of resource deadlocks has not been addressed in many ...