| 书目名称 | Optimization of PID Controllers Using Ant Colony and Genetic Algorithms |
| 编辑 | Muhammet Ünal,Ayça Ak,Hasan Erdal |
| 视频video | |
| 概述 | Novel optimization methods for process system control.A novel real time control algorithm, that uses Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithm for optimizing PID controller pa |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2013 |
| 关键词 | Ant Colony Optimization Algorithms; Artificial Intelligent; Artificial Neural Network; Genetic Algorith |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-32900-5 |
| isbn_softcover | 978-3-642-43477-8 |
| isbn_ebook | 978-3-642-32900-5Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2013 |
发表于 2025-3-21 19:59:09
