Evolving Genetic Programming Models for Predicting Quantities of Adhesive Wear in Low and Medium Carbon Steel
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{faris:2020:EMLT,
-
author = "Rana Faris and Bara'a Almasri and Hossam Faris and
Faris M. AL-Oqla and Doraid Dalalah",
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title = "Evolving Genetic Programming Models for Predicting
Quantities of Adhesive Wear in Low and Medium Carbon
Steel",
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booktitle = "Evolutionary Machine Learning Techniques",
-
year = "2020",
-
publisher = "Springer",
-
keywords = "genetic algorithms, genetic programming",
-
URL = "http://link.springer.com/chapter/10.1007/978-981-32-9990-0_7",
-
DOI = "doi:10.1007/978-981-32-9990-0_7",
- }
Genetic Programming entries for
Rana Faris
Bara'a Almasri
Hossam Faris
Faris M AL-Oqla
Doraid M Dalalah
Citations