Abstract
Over the past few years, drones also known as unmanned aerial vehicles (UAV), have been adopted as a part of transportation activities in logistic sector. This paper investigates a new version of traveling salesman problem called as flying sidekick traveling salesman problem(FSTSP) in which trucks and drones serve the customers in coordination with the objective of minimizing the total delivery distance of trucks at the depot after completing the deliveries. Clarke & Wright's savings algorithm is a well-known heuristics approach in literature, which gives better solution for classical vehicle routing problem. In this paper, a hybrid approach based on Clarke & Wright's savings algorithm and genetic algorithm is proposed for solving the new version of travelling salesman problem. In the proposed hybrid algorithm, which is the sequential use of genetic algorithm and Clarke & Wright’s savings algorithm, is used for assignment of the truck, drone or both of them to serve the customer. The solution of the genetic algorithm, which is the well-known metaheuristic approach, is enhanced with Clarke & Wright's savings algorithm. The aim of the problem is to minimize the total delivery distance according to the assignment decisions. This is the first hybrid approach in the literature including Clarke & Wright’s savings algorithm and genetic algorithm that applies for FSTSP problem. The hypothetical experiments conducted on various instances and results confirm the efficiency of the approach and give some insights on this drone delivery system.
Highlights
The technology for unmanned aerial vehicles (UAVs) which is known as drone has increased significantly in the past few years, and the list of potential uses for automated drones is growing in various disciplines especially it has gained a growing interests in the transportation activities because of the traffic congestion, the growing of the urban population and some restrictions in the land area
Hybrid algorithm, which is the sequential use of Clarke & Wright’s savings algorithm and genetic algorithm, is used for assignment of the truck and drone to serve the customer
The solution of the genetic algortihm is enhanced with Clarke & Wright's savings algorithm and a new heuristic algorithm which aims to find the distances is used to connect the drones with truck to minimize the total delivery distance according to the assignment decisions
Summary
The technology for unmanned aerial vehicles (UAVs) which is known as drone has increased significantly in the past few years, and the list of potential uses for automated drones is growing in various disciplines especially it has gained a growing interests in the transportation activities because of the traffic congestion, the growing of the urban population and some restrictions in the land area. FSTSP is firslty introduced by the Murray and Chu (2015) They provided two mathematical programming models aimed at optimal routing and scheduling of unmanned aircraft, and delivery trucks and they presented mixed integer linear programming formulations for two delivery-by-drone problems, along with heuristic solution approaches to solve problems of practical size. Huachi and Penna (2018) proposed two stage hybrid approach for FSTSP They created the initial solution with the Concorde solver and an implementation of the Randomized Variable Neighborhood Descent (RVND) heuristic is used as a local search to obtain the problem solution for FSTSP
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