Franklin

DNA Computing Based Genetic Algorithm [electronic resource] : Applications in Industrial Process Modeling and Control / by Jili Tao, Ridong Zhang, Yong Zhu.

Author/Creator:
Tao, Jili, author., Author,
Edition:
1st ed. 2020.
Publication:
Singapore : Springer Singapore : Imprint: Springer, 2020.
Series:
Mathematics and Statistics (SpringerNature-11649)
Format/Description:
Book
1 online resource (IX, 274 pages) : 187 illustrations, 108 illustrations in color.
Subjects:
Computer science -- Mathematics.
Automatic control.
Artificial intelligence.
Local subjects:
Computational Science and Engineering. (search)
Control and Systems Theory. (search)
Artificial Intelligence. (search)
System Details:
text file PDF
Summary:
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. .
Contents:
Introduction
DNA computing based RNA-GA
DNA double-helix based hybrid genetic algorithm
DNA computing based multi-objective genetic algorithm
Parameter identification and optimization for chemical process
RBF neural network for nonlinear SISO system
T-S Fuzzy neural network for nonlinear SISO system
PCA and GA based ARX plus RBF Modeling for Nonlinear DPS
GA based predictive control design
MOGA based PID controller design
Concluding Remarks.
Contributor:
Zhang, Ridong, author., Author,
Zhu, Yong, author., Author,
SpringerLink (Online service)
Contained In:
Springer Nature eBook
Other format:
Printed edition:
Printed edition:
Printed edition:
ISBN:
978-981-15-5403-2
9789811554032
Publisher Number:
10.1007/978-981-15-5403-2 doi
Access Restriction:
Restricted for use by site license.
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