- author = "Nerfita Nikentari and M Radzi Rathomi and Bondan Chorisma",
- title = "Comparing Grammatical Evolution Survivor Selection Methods in Forecasting Tidal Level",
- booktitle = "1st International Conference on Advance and Scientific Innovation, ICASI 2018",
- year = "2018",
- volume = "1175",
- number = "1",
- series = "Journal of Physics: Conference Series",
- pages = "012093",
- address = "Medan, Indonesia",
- month = "23-24 " # apr,
- publisher = "IOP Publishing",
- keywords = "genetic algorithms, genetic programming, Grammatical Evolution",
- isbn13 = "978-1-63190-162-1",
-
URL = "
https://iopscience.iop.org/issue/1742-6596/1175/1",
-
URL = "https://iopscience.iop.org/article/10.1088/1742-6596/1175/1/012093/meta",
-
URL = "https://iopscience.iop.org/article/10.1088/1742-6596/1175/1/012093/pdf",
-
URL = "https://doi.org/10.1088/1742-6596/1175/1/012093",
-
DOI = "
10.1088/1742-6596/1175/1/012093",
- size = "6 pages",
- abstract = "Grammatical Evolution (GE) is a grammar-based form of Genetic Programming. One important operator in GE algorithms is the selection scheme. The objective of this study is a comparison of two models of survivor selection, the generational replacement and steady state, for use in tidal level forecasting. The survivor selection schemes are compared and evaluated according to their properties. The results show the performance of steady state is 95.66 percent and 94.39 percent for generalation replacement.",
-
notes = "http://www.fkpt.org/icasi/2018/venue.php
https://indonesianconferencesandseminars.wordpress.com/2018/01/08/icasi2018/
https://eudl.eu/proceedings/ICASI/2018
cites \cite{Fenton:2017:GECCOa}
IOP published March 2019
Departement of Informatics, Faculty of Engineering, Universitas Maritim Raja Ali Haji, Tanjungpinang, Indonesia",
