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The Cartographer
k-RNN: Extending NN-heuristics for the TSP
October 17, 2018 Β· Declared Dead Β· π Journal on spesial topics in mobile networks and applications
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Authors
Nikolas Klug, Alok Chauhan, Ramesh Ragala, V Vijayakumar
arXiv ID
1810.08059
Category
cs.AI: Artificial Intelligence
Citations
11
Venue
Journal on spesial topics in mobile networks and applications
Last Checked
4 months ago
Abstract
In this paper we present an extension of existing Nearest-Neighbor heuristics to an algorithm called k-Repetitive-Nearest-Neighbor. The idea is to start with a tour of k nodes and then perform a Nearest-Neighbor search from there on. After doing this for all permutations of k nodes the result gets selected as the shortest tour found. Experimental results show that for 2-RNN the solutions quality remains relatively stable between about 10% to 40% above the optimum.
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