- author = "Said Polanco-Martagon and Jose Ruiz-Ascencio and Miguel Aurelio Duarte-Villasenor",
- title = "Symbolic modeling of the {Pareto}-Optimal sets of two unity gain cells",
- journal = "Dyna",
- year = "2016",
- number = "197",
- volume = "83",
- pages = "128--137",
- month = jun,
- publisher = "Universidad Nacional de Colombia, Facultad de Minas",
- address = "Colombia",
- keywords = "genetic algorithms, genetic programming, MOGP, NSGA-2, symbolic models, symbolic regression, white-box models, multi-objective optimisation, analogue circuit sizing, analog circuit design",
-
URL = "
https://dialnet.unirioja.es/servlet/oaiart?codigo=6060032",
- bibsource = "OAI-PMH server at dialnet.unirioja.es",
- ISSN = "0012-7353",
- language = "eng",
-
URL = "http://www.redalyc.org/articulo.oa?id=49645986017",
-
DOI = "
10.15446/dyna.v83n197.50919",
- size = "10 pages",
- abstract = "A method to data-mine results of an analogue circuit sizing in order to extract knowledge that can be immediately used by designers or students of analogue integrated circuit design is presented. The symbolic models, which have been generated using multi-objective genetic programming, are human-interpretable mathematical models. The procedure presented involves two steps: the generation of samples of Pareto-optimal performance sizes of two unity gain cells using the NSGA-II genetic algorithm; and the generation of models of each of the objectives sized by symbolic regression via genetic programming. The functionality of the method to describe circuits is shown in three cases: two current followers and one voltage follower.",
-
notes = "Modelado simbolico del conjunto Optimo de Pareto de
dos celdas de ganancia
unitaria
https://doaj.org/toc/2346-2183 http://www.redalyc.org/revista.oa?id=496 Also known as \cite{oai:dialnet.unirioja.es:ART0001209536}",
