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A Deep Reinforcement Learning Approach for Solving the Traveling
  Salesman Problem with Drone

A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone

22 December 2021
Aigerim Bogyrbayeva. Taehyun Yoon
Taehyun Yoon
Hanbum Ko
Sungbin Lim
Hyokun Yun
C. Kwon
ArXivPDFHTML

Papers citing "A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone"

5 / 5 papers shown
Title
USPR: Learning a Unified Solver for Profiled Routing
USPR: Learning a Unified Solver for Profiled Routing
Chuanbo Hua
Federico Berto
Zhikai Zhao
Jiwoo Son
Changhyun Kwon
Jinkyoo Park
44
0
0
08 May 2025
Equity-Transformer: Solving NP-hard Min-Max Routing Problems as
  Sequential Generation with Equity Context
Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context
Jiwoo Son
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jinkyoo Park
19
9
0
05 Jun 2023
A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling
  Salesman Problems with Drone
A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone
Sasan Mahmoudinazlou
C. Kwon
14
16
0
01 Mar 2023
Learning to Solve Vehicle Routing Problems: A Survey
Learning to Solve Vehicle Routing Problems: A Survey
Aigerim Bogyrbayeva
Meraryslan Meraliyev
Taukekhan Mustakhov
Bissenbay Dauletbayev
29
24
0
05 May 2022
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent
  Reinforcement Learning Approach
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach
Kecheng Zhang
Meng Li
Zhengchao Zhang
Xi Lin
Fang He
104
139
0
13 Feb 2020
1