ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.13983
  4. Cited By
Guidelines for the Computational Testing of Machine Learning approaches
  to Vehicle Routing Problems

Guidelines for the Computational Testing of Machine Learning approaches to Vehicle Routing Problems

28 September 2021
L. Accorsi
Andrea Lodi
D. Vigo
ArXivPDFHTML

Papers citing "Guidelines for the Computational Testing of Machine Learning approaches to Vehicle Routing Problems"

13 / 13 papers shown
Title
Multi-Agent Environments for Vehicle Routing Problems
Multi-Agent Environments for Vehicle Routing Problems
Ricardo Gama
Daniel Fuertes
Carlos R. del-Blanco
Hugo L. Fernandes
AI4CE
89
0
0
21 Nov 2024
Metaheuristic Enhanced with Feature-Based Guidance and Diversity
  Management for Solving the Capacitated Vehicle Routing Problem
Metaheuristic Enhanced with Feature-Based Guidance and Diversity Management for Solving the Capacitated Vehicle Routing Problem
Bachtiar Herdianto
Romain Billot
Flavien Lucas
Marc Sevaux
25
0
0
30 Jul 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
70
6
0
01 Jun 2024
Learning-Enhanced Neighborhood Selection for the Vehicle Routing Problem
  with Time Windows
Learning-Enhanced Neighborhood Selection for the Vehicle Routing Problem with Time Windows
Willem Feijen
Guido Schäfer
Koen Dekker
Seppo Pieterse
23
1
0
13 Mar 2024
PyVRP: a high-performance VRP solver package
PyVRP: a high-performance VRP solver package
N. Wouda
L. Lan
Wouter Kool
17
21
0
22 Nov 2023
An Expandable Machine Learning-Optimization Framework to Sequential
  Decision-Making
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making
Dogacan Yilmaz
˙I. Esra B¨uy¨uktahtakın
18
12
0
12 Nov 2023
Continuation Path Learning for Homotopy Optimization
Continuation Path Learning for Homotopy Optimization
Xi Lin
Zhiyuan Yang
Xiao-Yan Zhang
Qingfu Zhang
23
9
0
24 Jul 2023
A Neural Separation Algorithm for the Rounded Capacity Inequalities
A Neural Separation Algorithm for the Rounded Capacity Inequalities
Hyeon-Seob Kim
Jinkyoo Park
C. Kwon
49
6
0
29 Jun 2023
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation
  on the Traveling Salesman Problem
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem
Shengcai Liu
Yu Zhang
K. Tang
Xin Yao
65
40
0
22 Sep 2022
Neural Improvement Heuristics for Graph Combinatorial Optimization
  Problems
Neural Improvement Heuristics for Graph Combinatorial Optimization Problems
Andoni I. Garmendia
Josu Ceberio
A. Mendiburu
31
4
0
01 Jun 2022
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
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
Yining Ma
Jingwen Li
Zhiguang Cao
Wen Song
Hongliang Guo
Yuejiao Gong
Yeow Meng Chee
16
39
0
25 Apr 2022
Graph Neural Network Guided Local Search for the Traveling Salesperson
  Problem
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Benjamin H. Hudson
Qingbiao Li
Matthew Malencia
Amanda Prorok
33
63
0
11 Oct 2021
1