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On the empirical time complexity of finding optimal solutions vs proving optimality for Euclidean TSP instances

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Publication:497453
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DOI10.1007/s11590-014-0828-5zbMath1331.90067OpenAlexW1983531822WikidataQ59585904 ScholiaQ59585904MaRDI QIDQ497453

Holger H. Hoos, Thomas Stützle

Publication date: 24 September 2015

Published in: Optimization Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11590-014-0828-5

zbMATH Keywords

TSPexact algorithmsempirical complexity


Mathematics Subject Classification ID

Abstract computational complexity for mathematical programming problems (90C60) Combinatorial optimization (90C27)


Related Items

A covering traveling salesman problem with profit in the last mile delivery


Uses Software

  • TSPLIB
  • LKH
  • Concorde


Cites Work

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  • On the empirical scaling of run-time for finding optimal solutions to the travelling salesman problem
  • On the power of clause-learning SAT solvers as resolution engines
  • General \(k\)-opt submoves for the Lin-Kernighan TSP heuristic
  • The traveling salesman. Computational solutions for RSP applications
  • An effective implementation of the Lin-Kernighan traveling salesman heuristic
  • Exponential Lower Bounds on the Lengths of Some Classes of Branch-and-Cut Proofs
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