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Solving NP-hard problems with physarum-based ant colony system

Liu, Yuxin, Gao, Chao, Zhang, Zili, Lu, Yuxiao, Chen, Shi, Liang, Mingxin and Tao, Li 2017, Solving NP-hard problems with physarum-based ant colony system, IEEE/ACM transactions on computational biology and bioinformatics, vol. 14, no. 1, pp. 108-120, doi: 10.1109/TCBB.2015.2462349.

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Title Solving NP-hard problems with physarum-based ant colony system
Author(s) Liu, Yuxin
Gao, Chao
Zhang, ZiliORCID iD for Zhang, Zili orcid.org/0000-0002-8721-9333
Lu, Yuxiao
Chen, Shi
Liang, Mingxin
Tao, Li
Journal name IEEE/ACM transactions on computational biology and bioinformatics
Volume number 14
Issue number 1
Start page 108
End page 120
Total pages 13
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2017-01
ISSN 1545-5963
Keyword(s) Physarum-inspired mathematical model
ant colony system
NP-hard problem
traveling salesman problem
0/1 knapsack problem
positive feedback mechanism
Language eng
DOI 10.1109/TCBB.2015.2462349
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 0 Not Applicable
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30088880

Document type: Journal Article
Collection: School of Information Technology
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