ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.01615
  4. Cited By
Edge-DIRECT: A Deep Reinforcement Learning-based Method for Solving
  Heterogeneous Electric Vehicle Routing Problem with Time Window Constraints

Edge-DIRECT: A Deep Reinforcement Learning-based Method for Solving Heterogeneous Electric Vehicle Routing Problem with Time Window Constraints

28 June 2024
Arash Mozhdehi
Mahdi Mohammadizadeh
Xin Eric Wang
ArXiv (abs)PDFHTMLGithub

Papers citing "Edge-DIRECT: A Deep Reinforcement Learning-based Method for Solving Heterogeneous Electric Vehicle Routing Problem with Time Window Constraints"

2 / 2 papers shown
GAMA: A Neural Neighborhood Search Method with Graph-aware Multi-modal Attention for Vehicle Routing Problem
GAMA: A Neural Neighborhood Search Method with Graph-aware Multi-modal Attention for Vehicle Routing ProblemInternational Symposium on Mixed and Augmented Reality (ISMAR), 2025
Xiangling Chen
Yi Mei
Mengjie Zhang
147
0
0
11 Nov 2025
Learning to Search for Vehicle Routing with Multiple Time Windows
Learning to Search for Vehicle Routing with Multiple Time Windows
Kuan Xu
Zhiguang Cao
Chenlong Zheng
Linong Liu
216
1
0
29 May 2025
1
Page 1 of 1