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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"

4 / 4 papers shown
Title
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
62
4
0
01 Jun 2024
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
57
39
0
22 Sep 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
25
24
0
05 May 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
25
61
0
11 Oct 2021
1