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An ant colony optimisation algorithm for the triple matching problem

Publication date: 22.02.2018

Technical Transactions, 2018, Volume 2 Year 2018 (115), pp. 179 - 186

https://doi.org/10.4467/2353737XCT.18.028.8001

Authors

Krzysztof Schiff
Department of Automatic Control and Information Technology, Faculty of Electrical and Computer Engineering, Cracow University of Technology
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Titles

An ant colony optimisation algorithm for the triple matching problem

Abstract

In this article, ant colony optimisation algorithms for the triple matching problem are described. This is the
first elaborated ant algorithm for this problem. The problem is modeled by means of a 3-dimensional array. The ant algorithm was compared with the Apx3Dmatchnig-F algorithm and tested for different values of ant algorithm parameters. The results of these tests were presented and discussed.

References

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[5] Dorigo M., Stützle T., Ant colony optimization, Cambridge MIT Press. Proceedings of EvoWorkshops 2002, Berlin, Heidelberg, Springer-Verlag, 2002, 61–71.
[6] Chen J., Iterative Expansion and Color Coding, an Improved Algorithm for 3D-Matching, ACM Transactions on Algorithms, 2012, 6.1–6.22.
[7] Cao J., Chang W-L, Guo M., Using sticker to solve the 3-dimensional matching problem in molecular supercomputers, Int. J. High Performance Computing and Networking, Vol. 1, 2004, Nos. 1/2/3.
[8] Epifiano F.S., Ogasawara E., Soares J., Amorim M., Souza U., O Problema de Alocacao deTutores em Aplicacoes de Provas, XLVI Simposio Brasileiro de Pesquisa Operacional, Salvador, 16–19.09.2014 Brasil, 2014, 3007–3018.

Information

Information: Technical Transactions, 2018, Volume 2 Year 2018 (115), pp. 179 - 186

Article type: Original article

Titles:

Polish:

An ant colony optimisation algorithm for the triple matching problem

English:

An ant colony optimisation algorithm for the triple matching problem

Authors

Department of Automatic Control and Information Technology, Faculty of Electrical and Computer Engineering, Cracow University of Technology

Published at: 22.02.2018

Article status: Open

Licence: None

Percentage share of authors:

Krzysztof Schiff (Author) - 100%

Article corrections:

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Publication languages:

English