A Hybrid Practical Approach to the Traveling Salesman Problem

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Auteur principal: Abdullah, Basil Yahya
Format: Recurso digital
Publié: Zenodo 2025
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author Abdullah, Basil Yahya
author_facet Abdullah, Basil Yahya
contents <pre>This paper presents **TSP-GeoAttention**, a hybrid computational approach to solving the Traveling Salesman Problem (TSP) that combines spatial geometry, principles from classical physics, and attention mechanisms from artificial intelligence. **This work does NOT claim to solve the P vs NP millennium problem, nor does it provide a mathematical proof for any theoretical advancement.** Instead, it presents a practical software solution that achieves 85-95% accuracy compared to optimal solutions, suitable for real-world applications where near-optimal solutions are acceptable. **Keywords:** Traveling Salesman Problem, Geo-Zoning, Principle of Least Action, Attention Mechanism, Hybrid Algorithm, Practical Optimization</pre>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_17397636
institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle A Hybrid Practical Approach to the Traveling Salesman Problem
Abdullah, Basil Yahya
<pre>This paper presents **TSP-GeoAttention**, a hybrid computational approach to solving the Traveling Salesman Problem (TSP) that combines spatial geometry, principles from classical physics, and attention mechanisms from artificial intelligence. **This work does NOT claim to solve the P vs NP millennium problem, nor does it provide a mathematical proof for any theoretical advancement.** Instead, it presents a practical software solution that achieves 85-95% accuracy compared to optimal solutions, suitable for real-world applications where near-optimal solutions are acceptable. **Keywords:** Traveling Salesman Problem, Geo-Zoning, Principle of Least Action, Attention Mechanism, Hybrid Algorithm, Practical Optimization</pre>
title A Hybrid Practical Approach to the Traveling Salesman Problem
url https://doi.org/10.5281/zenodo.17397636