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Analysis the Uncertainties of the Ant Colony Algorithm

Authors: Yi Zhang 0031; Meng Zhang 0006; Xin-yan Cao;

Analysis the Uncertainties of the Ant Colony Algorithm

Abstract

In this paper, the subject of discussion is the uncertainties of Ant Colony Algorithm (ACA) . In order to find application and popularize the ACA, we try to find some disciplinarians which can eliminate the impact of uncertainties in our algorithm and find the best assembled of the parameters by a series of experiments. Results show that our works had great effects in practicality.

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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!
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Average
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