DNA Computing Based Genetic Algorithm Applications in Industrial Process Modeling and Control

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Synopsis

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. 

Book details

Edition:
1st ed. 2020
Author:
Jili Tao, Ridong Zhang, Yong Zhu
ISBN:
9789811554032
Related ISBNs:
9789811554025
Publisher:
Springer Singapore, Singapore
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2020-07-27
Usage restrictions:
Copyright
Copyright date:
2020
Copyright by:
Springer Nature Singapore Pte Ltd. 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Nonfiction, Technology