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...
| Other Authors: | Ünal, Muhammet., SpringerLink (Online service) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
©2013.
Berlin ; New York : [2013] |
| Physical Description: |
1 online resource. |
| Series: |
Studies in computational intelligence ;
449. |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |