Split-Delivery Vehicle Routing Problems Based on a Multi-Restart Improved Sweep Approach

Worst-Case Analysis for Split Delivery Vehicle Routing Problems

I the vehicle routing problem (VRP) the objective is to construct a minimum cost set of routes serving all customers where the demand of each customer is less than or equal to the vehicle capacity and where each customer is visited once. In the split delivery vehicle routing problem (SDVRP) the restriction that each customer is visited once is removed. We show that the cost savings that can be ...

A STUDY ON THE SPLIT DELIVERY VEHICLE ROUTING PROBLEM By

STOCHASTIC VEHICLE ROUTING PROBLEMS WITH SIMULTANEOUS PICKUP AND DELIVERY SERVICES

The problem of designing a set of routes with minimum cost to serve a collection of customers with a fleet of vehicles is a fundamental challenge when the number of customers to be dropped or picked up is not known during the planning horizon. The purpose of this paper is to develop a vehicle routing Problem (VRP) model that addresses stochastic simultaneous pickup and delivery in the urban pub...

A Sweep Coverage Scheme Based on Vehicle Routing Problem

As an emerging coverage problem in wireless sensor networks, sweep coverage which introducing mobile sensors to cover points of interest within certain time interval can satisfy monitoring request in some particular application scenarios with less number of nodes than the conventional static coverage approach. In this work, aiming to support dynamical POI coverage and data delivery simultaneous...

An Improved Particle Swarm Optimization for a Class of Capacitated Vehicle Routing Problems

Vehicle Routing Problem (VRP) is addressed to a class of problems for determining a set of vehicle routes, in which each vehicle departs from a given depot, serves a given set of customers, and returns back to the same depot. On the other hand, simultaneous delivery and pickup problems have drawn much attention in the past few years due to its high usage in real world cases. This study, therefo...