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Optimization of PID Controllers Using Ant Colony and Genetic Algorithms (Studies in Computational Intelligence)


Huge Savings Item! Save 12% on the Optimization of PID Controllers Using Ant Colony and Genetic Algorithms (Studies in Computational Intelligence) by Muhammet Nal at EMS Linux. Hurry! Limited time offer. Offer valid only while supplies last. Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard


Product Description

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.

Additional Information

Manufacturer:Springer
Brand:Muhammet Nal
Publisher:Springer
Studio:Springer
EAN:9783642328992
Item Weight:0.8 pounds
Item Size:0.4 x 9.2 x 9.2 inches
Package Weight:0.85 pounds
Package Size:6.2 x 0.5 x 0.5 inches

Optimization of PID Controllers Using Ant Colony and Genetic Algorithms (Studies in Computational Intelligence) by Muhammet Nal

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Optimization of PID Controllers Using Ant Colony and Genetic Algorithms (Studies in Computational Intelligence)

Brand: Muhammet Nal
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