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

Tao, Jili; Zhang, Ridong; Zhu, Yong

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. 

Details

Published by: Springer

Publication Date: 2021-07-01

Format: Paperback

ISBN-13: 9789811554056

DOI: 10.1007/978-981-15-5403-2

Dimensions: 235cm x155cm

Pages: 274