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Article
License: CC BY NC
Data sources: UnpayWall
https://doi.org/10.2991/icsste...
Article . 2016 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.2991/ics...
Other literature type
Data sources: Microsoft Academic Graph
https://dx.doi.org/10.2991/ics...
Other literature type
Data sources: Microsoft Academic Graph
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Improved Optimization Algorithm of Ant Colony

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2016Publisher:Atlantis PressJournal:Proceedings of the 2016 2nd International Conference on Social Science and Technology Education (ICSSTE 2016)
Authors: Yunhong Zhao;

doi: 10.2991/icsste-16.2016.98

Improved Optimization Algorithm of Ant Colony

Abstract

The mechanisms and basic principles about ant colony algorithm is researched, and in system point of view such characteristics as positive feedback, self-organizing systems, and distributed computing of the ant colony algorithm are analyzed. Analysis, verify and classify improved optimization algorithm of ant colony in detail by TSP-Ei151 in MATLAB 7.6; It shows this algorithm superior to AS in convergence, global and number of iterations.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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