A new node-shift encoding representation for the travelling salesman problem
May 16, 2023 ยท Declared Dead ยท ๐ International Conference on Interactive Collaborative Learning
"No code URL or promise found in abstract"
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Authors
Menouar Boulif, Aghiles Gharbi
arXiv ID
2305.09257
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.AI,
math.OC
Citations
2
Venue
International Conference on Interactive Collaborative Learning
Last Checked
4 months ago
Abstract
This paper presents a new genetic algorithm encoding representation to solve the travelling salesman problem. To assess the performance of the proposed chromosome structure, we compare it with state-of-the-art encoding representations. For that purpose, we use 14 benchmarks of different sizes taken from TSPLIB. Finally, after conducting the experimental study, we report the obtained results and draw our conclusion.
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