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...
שמור ב:
| Auteurs principaux: | , , , |
|---|---|
| פורמט: | Livre numérique |
| שפה: | Anglais |
| יצא לאור: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| מהדורה: | 1st ed. 2013. |
| סדרה: | Studies in Computational Intelligence
449 |
| גישה מקוונת: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| הערה: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Optimization of PID Controllers Using Ant Colony and Genetic Algorithms, Texte imprimé, 9783642328992 • Optimization of PID Controllers Using Ant Colony and Genetic Algorithms, Texte imprimé, 9783642329012 • Optimization of PID Controllers Using Ant Colony and Genetic Algorithms, Texte imprimé, 9783642434778 • Optimization of PID Controllers Using Ant Colony and Genetic Algorithms, Texte imprimé, 9783642328992 |
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| 041 | 0 | |a eng | |
| 082 | |a 006.3 | ||
| 100 | 1 | |a Ünal, Muhammet. | |
| 245 | 1 | 0 | |a Optimization of PID Controllers Using Ant Colony and Genetic Algorithms |c by Muhammet Ünal, Ayça Ak, Vedat Topuz, Hasan Erdal. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 449 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Artificial Neural Networks Genetic Algorithm Ant Colony Optimization (ACO) An Application for Process System Control | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 available on these subjects only provide a cursory discussion of theory, the present book gives special emphasis to the theoretical background that is behind these algorithms and their applications. Moreover, this book introduces a novel real time control algorithm, that uses genetic algorithm and ant colony optimization algorithms for optimizing PID controller parameters. In general, the present book represents a solid survey on artificial neural networks, genetic algorithms and the ant colony optimization algorithm and introduces novel practical elements related to the application of these methods to process system control | ||
| 700 | 1 | |a Ak, Ayça. |4 aut | |
| 700 | 1 | |a Topuz, Vedat. |4 aut | |
| 700 | 1 | |a Erdal, Hasan. |4 aut | |
| 776 | 0 | |t Optimization of PID Controllers Using Ant Colony and Genetic Algorithms |b Texte imprimé |z 9783642328992 | |
| 776 | 0 | |t Optimization of PID Controllers Using Ant Colony and Genetic Algorithms |b Texte imprimé |z 9783642329012 | |
| 776 | 0 | |t Optimization of PID Controllers Using Ant Colony and Genetic Algorithms |b Texte imprimé |z 9783642434778 | |
| 776 | 0 | |t Optimization of PID Controllers Using Ant Colony and Genetic Algorithms |b Texte imprimé |z 9783642328992 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-32900-5 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-T2Q12R6L-K |z Accès sur la plateforme Istex | |
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| 856 | 4 | |5 180339901:751507512 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-32900-5 |z Accès INSA CVL | |
| 997 | |0 950131 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||