Adjust genetic algorithm parameter by fuzzy system
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| Format: | Artículo científico |
| Langue: | en |
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Universidade Federal de Santa Maria
2015
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| _version_ | 1876479125183528960 |
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| author | Tayebe Noshadi |
| author_facet | Tayebe Noshadi |
| contents | Adjust genetic algorithm parameter by fuzzy system Tayebe Noshadi Marzieh Dadvar Nastaran Mirza Shima Shamseddini Estudios Ambientales parallel fuzzy systems Genetic algorithms genetic algorithms parallel genetic algorithm immigration Genetic algorithm is one of the random search es algorithm . Genetic algorithm is a method that uses genetic evolution as a model of problem solving. Genetic algorithm for selecting the best population, but the choices are not a s heuristic information to be used in specific issues. In order to obtain optimal soluti ons and efficient use of fuzzy systems with heuristic rules that we would aim to increase the efficiency of parallel genetic algorithms using fuzzy logic immigration, which in fact do this by optimizing the paramete rs compared with the use of fuzzy system is done. 2015 artículo científico 0100-8307 https://www.redalyc.org/articulo.oa?id=467547683025 en http://www.redalyc.org/revista.oa?id=4675 Ciência e Natura application/pdf Universidade Federal de Santa Maria Ciência e Natura (Brasil) Num.6-2 Vol.37 |
| format | Artículo científico |
| id | redalyc_467547683025 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidade Federal de Santa Maria |
| spellingShingle | Adjust genetic algorithm parameter by fuzzy system Tayebe Noshadi Estudios Ambientales parallel fuzzy systems Genetic algorithms genetic algorithms parallel genetic algorithm immigration Adjust genetic algorithm parameter by fuzzy system Tayebe Noshadi Marzieh Dadvar Nastaran Mirza Shima Shamseddini Estudios Ambientales parallel fuzzy systems Genetic algorithms genetic algorithms parallel genetic algorithm immigration Genetic algorithm is one of the random search es algorithm . Genetic algorithm is a method that uses genetic evolution as a model of problem solving. Genetic algorithm for selecting the best population, but the choices are not a s heuristic information to be used in specific issues. In order to obtain optimal soluti ons and efficient use of fuzzy systems with heuristic rules that we would aim to increase the efficiency of parallel genetic algorithms using fuzzy logic immigration, which in fact do this by optimizing the paramete rs compared with the use of fuzzy system is done. 2015 artículo científico 0100-8307 https://www.redalyc.org/articulo.oa?id=467547683025 en http://www.redalyc.org/revista.oa?id=4675 Ciência e Natura application/pdf Universidade Federal de Santa Maria Ciência e Natura (Brasil) Num.6-2 Vol.37 |
| title | Adjust genetic algorithm parameter by fuzzy system |
| topic | Estudios Ambientales parallel fuzzy systems Genetic algorithms genetic algorithms parallel genetic algorithm immigration |
| url | https://www.redalyc.org/articulo.oa?id=467547683025 |