The flying sidekick traveling salesman problem with multiple drops: A simple and effective heuristic approach
Sarah K. Schaumann, Abhishake Kundu, Juan C. Pina-Pardo, Matthias, Winkenbach, Ricardo A. Gatica, Stephan M. Wagner, Timothy I. Matis

TL;DR
This paper introduces a simple heuristic for the Flying Sidekick Traveling Salesman Problem with Multiple Drops, optimizing drone and truck routes for last-mile delivery to significantly reduce completion times.
Contribution
It presents a novel polynomial-time split algorithm and a heuristic approach that outperform existing methods for FSTSP-MD and FSTSP problems.
Findings
Heuristic consistently outperforms state-of-the-art solutions.
FSTSP-MD reduces delivery completion times compared to truck-only systems.
Drone capabilities and customer distribution significantly impact delivery efficiency.
Abstract
We study the Flying Sidekick Traveling Salesman Problem with Multiple Drops (FSTSP-MD), a multi-modal last-mile delivery model where a single truck and a single drone cooperatively deliver customer packages. In the FSTSP-MD, the drone can be launched from the truck to deliver multiple packages before it returns to the truck for a new delivery operation. The objective is to find the synchronized truck and drone delivery routes that minimize the completion time of the delivery process. We develop a simple and effective heuristic to solve the FSTSP-MD based on an order-first, split-second scheme. The core component of our heuristic is a novel split algorithm that finds FSTSP-MD solutions in polynomial time for a given sequence of customers. We embed this split algorithm into a simple heuristic approach that combines standard local search and diversification techniques. The simplicity of…
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Taxonomy
TopicsRobotic Path Planning Algorithms · Metaheuristic Optimization Algorithms Research
