Quotient algorithm: a simple heuristic for the travelling salesperson problem inspired by human solutions

Kyritsis, M. ORCID: https://orcid.org/0000-0002-7151-1698, Ud Din, S. and Gulliver, S. ORCID: https://orcid.org/0000-0002-4503-5448 (2018) Quotient algorithm: a simple heuristic for the travelling salesperson problem inspired by human solutions. In: 2018 Fifth HCT Information Technology Trends (ITT), 28-29 Nov 2018, Dubai, United Arab Emirates, pp. 47-49.

Abstract/Summary

The Travelling Salesperson Problem (TSP) is a classic example of a non-polynomial (NP) hard problem, which cannot be practically solved using exhaustive algorithmic approaches. This study explores the human approach, and presents a Quotient Algorithm (Quot) - a modification to the nearest neighbor algorithm - inspired by human path crossing avoidance behavior when solving ETSP graphs. We compared the developed Quot results against standard heuristic algorithms and found that this simple modification outperforms the NN, as well as other existing heuristic approaches

Item Type	Conference or Workshop Item (Paper)
URI	https://reading-clone.eprints-hosting.org/id/eprint/82530
Refereed	Yes
Divisions	Henley Business School > Digitalisation, Marketing and Entrepreneurship
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