Title of article :
Model and Hybrid Algorithm of Collaborative Distribution System with Multiple Drones and a Truck
Author/Authors :
Lin,Min School of Management - Shanghai University, China , Lyu, Jun-Yan School of Management - Shanghai University, China , Gao, Jia-Jing School of Management - Shanghai University, China , Li, Ling-Yu School of Management - Shanghai University, China
Pages :
16
From page :
1
To page :
16
Abstract :
This paper studies a coordinated system for multidrone single-truck distribution, where a truck delivers goods to a group of customers along a closed ground path with the help of a number of drones. For each delivery, the truck departs from the distribution centre with drones and all goods needed and returns back to the centre after fulfilling the delivery tasks. That is, the truck assigns these delivery tasks to several of its drones, each of which is responsible for sending goods to a different subgroup of customers in the empty air space. This study provides a new mixed-integer programming model of the routing problem with this distribution system based on urban road network. Meanwhile, a hybrid genetic algorithm and a hybrid particle swarm algorithm are designed. Experimental results show that the performance of the hybrid algorithms is better than that of the corresponding basic algorithms.
Keywords :
Model , Hybrid Algorithm , Collaborative Distribution System , Multiple Drones , Truck
Journal title :
Scientific Programming
Serial Year :
2020
Full Text URL :
Record number :
2610438
Link To Document :
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