Solving artificial ant problem using two artificial bee colony programming versions-Reference-Cited by-同舟云学术

Solving artificial ant problem using two artificial bee colony programming versions

Published:2020-06-25 Issue:11 Volume:50 Page:3695-3717
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Boudardara Fateh,Gorkemli Beyza^ORCID

Funder

Erciyes Üniversitesi

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-020-01741-0.pdf

Reference51 articles.

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3. Arslan S, Ozturk C (2019) Artificial bee colony programming descriptor for multi-class texture classification. Appl Sci 9(9):1930. https://doi.org/10.3390/app9091930

4. Arslan S, Ozturk C (2019) Multi hive artificial bee colony programming for high dimensional symbolic regression with feature selection. Appl Soft Comput 78:515–527

5. Bansal JC, Sharma H, Jadon SS (2013) Artificial bee colony algorithm: a survey. Int J Adv Intell Paradig 5(1-2):123–159

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