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DNA Computing Based Genetic Algorithm

Applications in Industrial Process Modeling and Control

Authors: Tao, Jili, Zhang, Ridong, Zhu, Yong

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  • Provides step-by-step tutorials and program codes 
  • Presents GA applications for single-objective and multi-objective optimization in connection with nonlinear system modeling and distributed parameter system modeling Proposes control optimization methods from traditional PID controllers and advanced model predictive controls to advanced fuzzy controllers 
  • Introduces the newest topics in deep learning and CNN 
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About this book

This book focuses on the implementation, evaluation and application of DNA/RNA-based genetic algorithms in connection with neural network modeling, fuzzy control, the Q-learning algorithm and CNN deep learning classifier. It presents several DNA/RNA-based genetic algorithms and their modifications, which are tested using benchmarks, as well as detailed information on the implementation steps and program code. In addition to single-objective optimization, here genetic algorithms are also used to solve multi-objective optimization for neural network modeling, fuzzy control, model predictive control and PID control. In closing, new topics such as Q-learning and CNN are introduced. The book offers a valuable reference guide for researchers and designers in system modeling and control, and for senior undergraduate and graduate students at colleges and universities. 

About the authors

Jili Tao received her B.Sc. and Ph.D. from Central South University and Zhejiang University, China, in 2004 and 2007, respectively. She is currently a Professor at the Institute of Ningbo Technology, Ningbo, China. Her research interests include intelligent optimization, modeling and its applications to electronic system design and control system design. 


Ridong Zhang received his Ph.D. in Control Science and Engineering from Zhejiang University, Hangzhou, China, in 2007. From 2007 to 2015, he was a Full Professor with the Institute of Information and Control, Hangzhou Dianzi University, Hangzhou. Since 2015, he has been a Visiting Professor at the Chemical and Biomolecular Engineering Department, Hong Kong University of Science and Technology. His research interests include process modeling, model predictive control and nonlinear systems. 


Yong Zhu, received M.Sc. degrees from HangZhou DianZi University, China, in  2004. He is currently a lecturer in the Institute of Ningbo technology, Ningbo, China. Meanwhile he has been a Ph.D. candidate in Ningbo University. His present research interests in electronic system design and advanced control system design.



Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook $139.00
price for Mexico
  • ISBN 978-981-15-5403-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for Mexico
  • ISBN 978-981-15-5402-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
DNA Computing Based Genetic Algorithm
Book Subtitle
Applications in Industrial Process Modeling and Control
Authors
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-5403-2
DOI
10.1007/978-981-15-5403-2
Hardcover ISBN
978-981-15-5402-5
Edition Number
1
Number of Pages
IX, 274
Number of Illustrations
79 b/w illustrations, 108 illustrations in colour
Topics

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