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Tournament selection algorithm for the multiple travelling salesman problem

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Autore
Polychronis G., Lalis S.
Data
2020
Language
en
Soggetto
Heuristic methods
Intelligent systems
Intelligent vehicle highway systems
Iterative methods
Traffic control
General topology
Heuristic principle
Large neighbourhood searches
New solutions
Runtime overheads
State-of-the-art algorithms
Tournament selection
Travelling salesman problem
Traveling salesman problem
SciTePress
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Abstract
The multiple Travelling Salesman Problem (mTSP) is a generalization of the classic TSP problem, where the cities in question are visited using a team of salesmen, each one following a different, complementary route. Several algorithms have been proposed to address this problem, based on different heuristics. In this paper, we propose a new algorithm that employs the generic tournament selection heuristic principle, hybridized with a large neighbourhood search method to iteratively evolve new solutions. We describe the proposed algorithm in detail, and compare it with a state-of-the-art algorithm for a wide range of public benchmarks. Our results show that the proposed heuristic manages to produce solutions of the same or better quality at a significantly lower runtime overhead. These improvements hold for Euclidean as well as for general topologies. © 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved
URI
http://hdl.handle.net/11615/78299
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