Based on Genetic Algorithms for Multi-Drone Delivery Route Optimization in Mountain Cities

The study proposes a genetic algorithm-based approach for optimizing multi-drone delivery routes in mountain cities. By integrating vehicle-assisted multi-drone systems and genetic algorithms, the aim is to address efficient delivery challenges in complex terrains. The paper discusses the design, implementation, and performance of this method in real-world scenarios. Results show significant improvements in delivery efficiency and energy reduction, with a 15.75 km optimal route and 1.575 kWh energy consumption, validating the effectiveness of the proposed approach.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/itnec60942.2024.10733075
Primary Topic
Transportation and Mobility Innovations
Type
article
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article

Based on Genetic Algorithms for Multi-Drone Delivery Route Optimization in Mountain Cities

Ling Zhang, Jindao Zheng, Zichao Chen, Ping Zhang
Transportation and Mobility Innovations
article

Based on Genetic Algorithms for Multi-Drone Delivery Route Optimization in Mountain Cities

Ling Zhang, Jindao Zheng, Zichao Chen, Ping Zhang
article en

Abstract

The study proposes a genetic algorithm-based approach for optimizing multi-drone delivery routes in mountain cities. By integrating vehicle-assisted multi-drone systems and genetic algorithms, the aim is to address efficient delivery challenges in complex terrains. The paper discusses the design, implementation, and performance of this method in real-world scenarios. Results show significant improvements in delivery efficiency and energy reduction, with a 15.75 km optimal route and 1.575 kWh energy consumption, validating the effectiveness of the proposed approach.

Hubei Polytechnic Institute (CN)
Openalex Percentile: Top 80%
Transportation and Mobility Innovations
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