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Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. As their popularity has increased, applications of these algorithms have grown in more than equal measure. While many of the books avai...

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Autori principali: Ünal, Muhammet. (Autore, http://id.loc.gov/vocabulary/relators/aut), Ak, Ayça. (http://id.loc.gov/vocabulary/relators/aut), Topuz, Vedat. (http://id.loc.gov/vocabulary/relators/aut), Erdal, Hasan. (http://id.loc.gov/vocabulary/relators/aut)
Ente Autore: SpringerLink (Online service)
Natura: Elettronico eBook
Lingua:English
Pubblicazione: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edizione:1st ed. 2013.
Serie:Studies in Computational Intelligence, 449
Soggetti:
Computational intelligence.
Control engineering.
Artificial intelligence.
Computational Intelligence.
Control and Systems Theory.
Artificial Intelligence.
Accesso online:https://doi.org/10.1007/978-3-642-32900-5
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Accesso online

https://doi.org/10.1007/978-3-642-32900-5

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