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DNA Computing Based Genetic Algorithm

Cover von DNA Computing Based Genetic Algorithm

eBook - Applications in Industrial Process Modeling and Control, Mathematics and Statistics (R0)

Tao, Jili/Zhang, Ridong/Zhu, Yong

SPRINGER

173.95

(inklusive MwSt.)

Verfügbarkeit: Lieferbar

Zusatztext

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. 

Autorenportrait

<p><b>Jili Tao</b> 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. </p><p> </p><p><b>Ridong Zhang</b> 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. </p><p> </p><p><b>Yong Zhu</b>, 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.</p><p><b> </b></p><p> </p>

Weitere Details

Erschienen: 01.07.2020

Umfang: 25.22 MB

Sprache: ENG

ISBN/EAN: 9789811554032

Umbreit-Nr.: 9588502

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