Discussion of operators involved in a process of calibration using genetic algorithms for a surface water quality model to work with the tool Qual2Kw
At the beginning of the process of calibration of a water quality model, using the computational tool Qual2kw that includes a genetic algorithm as a mathematical tool for calibration, it is necessary to introduce some operators for the start of the calibration process that seeks the best combinatio...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Universidad de Antioquia
2013-03-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/14933 |
| _version_ | 1797861731395960832 |
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| author | Ismael Leonardo Vera-Puerto Jaime Andrés Lara-Borrero |
| author_facet | Ismael Leonardo Vera-Puerto Jaime Andrés Lara-Borrero |
| author_sort | Ismael Leonardo Vera-Puerto |
| collection | DOAJ |
| description |
At the beginning of the process of calibration of a water quality model, using the computational tool Qual2kw that includes a genetic algorithm as a mathematical tool for calibration, it is necessary to introduce some operators for the start of the calibration process that seeks the best combination of constants that represent the reality of the current in terms of water quality. In this work are made general recommendations on three operators that uses genetic algorithm: the seed used, the number of generations and the number
of populations; mainly the latter two are important because they involve partners computational times, since a combination that creates many runs could not present significant variations in the total adjustment of the model, so that a combination “optimal” could give good solutions in reasonable time. This study found that indeed there are points where the improvement in the quality of adjustment does not increase more than 5% variation in the value obtained by the function of error, so it is possible to recommend certain values for use by the modeler at the time of use this tool.
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| first_indexed | 2024-04-09T22:07:51Z |
| format | Article |
| id | doaj.art-fbb7bdbf8c5b491ba46c8041cebdbc10 |
| institution | Directory Open Access Journal |
| issn | 0120-6230 2422-2844 |
| language | English |
| last_indexed | 2024-04-09T22:07:51Z |
| publishDate | 2013-03-01 |
| publisher | Universidad de Antioquia |
| record_format | Article |
| series | Revista Facultad de Ingeniería Universidad de Antioquia |
| spelling | doaj.art-fbb7bdbf8c5b491ba46c8041cebdbc102023-03-23T12:35:00ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442013-03-015010.17533/udea.redin.14933Discussion of operators involved in a process of calibration using genetic algorithms for a surface water quality model to work with the tool Qual2KwIsmael Leonardo Vera-PuertoJaime Andrés Lara-Borrero At the beginning of the process of calibration of a water quality model, using the computational tool Qual2kw that includes a genetic algorithm as a mathematical tool for calibration, it is necessary to introduce some operators for the start of the calibration process that seeks the best combination of constants that represent the reality of the current in terms of water quality. In this work are made general recommendations on three operators that uses genetic algorithm: the seed used, the number of generations and the number of populations; mainly the latter two are important because they involve partners computational times, since a combination that creates many runs could not present significant variations in the total adjustment of the model, so that a combination “optimal” could give good solutions in reasonable time. This study found that indeed there are points where the improvement in the quality of adjustment does not increase more than 5% variation in the value obtained by the function of error, so it is possible to recommend certain values for use by the modeler at the time of use this tool. https://revistas.udea.edu.co/index.php/ingenieria/article/view/14933genetics algorithmscalibrationwater quality modelQual2Kw |
| spellingShingle | Ismael Leonardo Vera-Puerto Jaime Andrés Lara-Borrero Discussion of operators involved in a process of calibration using genetic algorithms for a surface water quality model to work with the tool Qual2Kw Revista Facultad de Ingeniería Universidad de Antioquia genetics algorithms calibration water quality model Qual2Kw |
| title | Discussion of operators involved in a process of calibration using genetic algorithms for a surface water quality model to work with the tool Qual2Kw |
| title_full | Discussion of operators involved in a process of calibration using genetic algorithms for a surface water quality model to work with the tool Qual2Kw |
| title_fullStr | Discussion of operators involved in a process of calibration using genetic algorithms for a surface water quality model to work with the tool Qual2Kw |
| title_full_unstemmed | Discussion of operators involved in a process of calibration using genetic algorithms for a surface water quality model to work with the tool Qual2Kw |
| title_short | Discussion of operators involved in a process of calibration using genetic algorithms for a surface water quality model to work with the tool Qual2Kw |
| title_sort | discussion of operators involved in a process of calibration using genetic algorithms for a surface water quality model to work with the tool qual2kw |
| topic | genetics algorithms calibration water quality model Qual2Kw |
| url | https://revistas.udea.edu.co/index.php/ingenieria/article/view/14933 |
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