Addressing the traveling salesperson problem with frequency fitness assignment and hybrid algorithms

Author:

Liang TianyuORCID,Wu ZhizeORCID,Lässig Jörg,Berg Daan van denORCID,Thomson Sarah L.ORCID,Weise ThomasORCID

Funder

Provincial Natural Science Foundation of Anhui

Key Research Plan of Anhui

Publisher

Springer Science and Business Media LLC

Reference43 articles.

1. Applegate DL, Bixby RE, Chvátal V et al (2007) The traveling salesman problem: a computational study, Princeton series in applied mathematics. vol 17, 2nd edn. Princeton University Press, Princeton

2. Bäck T, Fogel DB, Michalewicz Z (eds) (1997) Handbook of evolutionary computation. Oxford University Press Inc, New York

3. Carvalho Pinto E, Doerr C (2018) Towards a more practice-aware runtime analysis of evolutionary algorithms. http://arxiv.org/pdf/1812.00493.pdf, arXiv: 1812.00493v1

4. Černý V (1985) Thermodynamical approach to the traveling salesman problem: an efficient simulation algorithm. J Optim Theory Appl 45(1):41–51. https://doi.org/10.1007/BF00940812

5. Chiong R, Weise T, Michalewicz Z (2012) Variants of evolutionary algorithms for real-world applications. Springer-Verlag, Berlin

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