DNA computing based genetic algorithm : applications in industrial process modeling and control / Jili Tao, Ridong Zhang, Yong Zhu.
2020
QA402.5
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Details
Title
DNA computing based genetic algorithm : applications in industrial process modeling and control / Jili Tao, Ridong Zhang, Yong Zhu.
Author
Tao, Jili.
ISBN
9789811554032 (electronic book)
981155403X (electronic book)
9789811554025
9811554021
981155403X (electronic book)
9789811554025
9811554021
Publication Details
Singapore : Springer, 2020.
Language
English
Description
1 online resource (280 pages)
Item Number
10.1007/978-981-15-5
Call Number
QA402.5
Dewey Decimal Classification
519.6/25
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.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Zhang, Ridong.
Zhu, Yong.
Zhu, Yong.
Available in Other Form
DNA Computing Based Genetic Algorithm : Applications in Industrial Process Modeling and Control
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