Symbolic modeling of the Pareto-Optimal sets of two unity gain cells
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional de Colombia
2016
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| _version_ | 1876447726096351232 |
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| author | Said Polanco-Martagón |
| author_facet | Said Polanco-Martagón |
| contents | Symbolic modeling of the Pareto-Optimal sets of two unity gain cells Said Polanco-Martagón José Ruiz-Ascencio Miguel Aurelio Duarte-Villaseñor Ingeniería White box models Symbolic Models Symbolic Regression Genetic Programming A method to data-mine results of an analog circuit sizing in order to extract knowledge that can be immediately used by designers or students of analog 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. 2016 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49645986017 https://www.redalyc.org/journal/496/49645986017/ https://www.redalyc.org/journal/496/49645986017/html/ https://www.redalyc.org/journal/496/49645986017/49645986017.epub https://www.redalyc.org/journal/496/49645986017/movil en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.197 Vol.83 |
| format | Artículo científico |
| id | redalyc_49645986017 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Symbolic modeling of the Pareto-Optimal sets of two unity gain cells Said Polanco-Martagón Ingeniería White box models Symbolic Models Symbolic Regression Genetic Programming Symbolic modeling of the Pareto-Optimal sets of two unity gain cells Said Polanco-Martagón José Ruiz-Ascencio Miguel Aurelio Duarte-Villaseñor Ingeniería White box models Symbolic Models Symbolic Regression Genetic Programming A method to data-mine results of an analog circuit sizing in order to extract knowledge that can be immediately used by designers or students of analog 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. 2016 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49645986017 https://www.redalyc.org/journal/496/49645986017/ https://www.redalyc.org/journal/496/49645986017/html/ https://www.redalyc.org/journal/496/49645986017/49645986017.epub https://www.redalyc.org/journal/496/49645986017/movil en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.197 Vol.83 |
| title | Symbolic modeling of the Pareto-Optimal sets of two unity gain cells |
| topic | Ingeniería White box models Symbolic Models Symbolic Regression Genetic Programming |
| url | https://www.redalyc.org/articulo.oa?id=49645986017 https://www.redalyc.org/journal/496/49645986017/ https://www.redalyc.org/journal/496/49645986017/html/ https://www.redalyc.org/journal/496/49645986017/49645986017.epub https://www.redalyc.org/journal/496/49645986017/movil |