A deep reinforcement learning approach for solving the Traveling Salesman Problem with Drone-Reference-Cited by-同舟云学术

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A deep reinforcement learning approach for solving the Traveling Salesman Problem with Drone

Published:2023-03 Issue: Volume:148 Page:103981
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Bogyrbayeva Aigerim,Yoon Taehyun^ORCID,Ko Hanbum,Lim Sungbin^ORCID,Yun Hyokun^ORCID,Kwon Changhyun^ORCID

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference50 articles.

1. Optimization approaches for the traveling salesman problem with drone;Agatz;Transp. Sci.,2018

2. Amazon prime air;Amazon Prime Air,2022

3. TSP cuts which do not conform to the template paradigm;Applegate,2001

4. Neural combinatorial optimization with reinforcement learning;Bello,2016

5. Julia: A fresh approach to numerical computing;Bezanson;SIAM Rev.,2017

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1. A new resource-constrained project scheduling problem with ladder-type carbon trading prices and its algorithm based on deep reinforcement learning;Expert Systems with Applications;2024-12

2. A hybrid genetic algorithm with type-aware chromosomes for Traveling Salesman Problems with Drone;European Journal of Operational Research;2024-11

3. Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems;Transportation Science;2024-09-11

4. Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation;Frontiers in Computational Neuroscience;2024-09-09

5. Drone-Assisted Multimodal Logistics: Trends and Research Issues;Drones;2024-09-08

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