Code and Data Repository for A new upper bound for the Euclidean TSP constant

This paper presents a computer-aided proof of a novel approach to constructing a new upper bound for the Euclidean Traveling Salesman Problem (TSP) Constant, leveraging numerical methods and decision trees. While the improvement achieved is modest, the approach offers a key advantage: it is primarily constrained by computer hardware, making it highly amenable to further optimization and advancements over time.

Authors

Publication Details

Journal
INFORMS journal on computing
Published
2025-04-21
DOI
https://doi.org/10.1287/ijoc.2024.0538.cd
Primary Topic
Advanced Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Code and Data Repository for A new upper bound for the Euclidean TSP constant

John Gunnar Carlsson, Jie-Tai Yu
INFORMS journal on computing
Advanced Optimization Algorithms Research
article

Code and Data Repository for A new upper bound for the Euclidean TSP constant

John Gunnar Carlsson, Jie-Tai Yu
article en

Abstract

This paper presents a computer-aided proof of a novel approach to constructing a new upper bound for the Euclidean Traveling Salesman Problem (TSP) Constant, leveraging numerical methods and decision trees. While the improvement achieved is modest, the approach offers a key advantage: it is primarily constrained by computer hardware, making it highly amenable to further optimization and advancements over time.

INFORMS journal on computing
Openalex Percentile: Top 88%
Advanced Optimization Algorithms Research
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Code and Data Repository for A new upper bound for the Euclidean TSP constant — John Gunnar Carlsson, Jie-Tai Yu · INFORMS journal on computing (2025) | TGRS Research Map | TGRS