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

di Jili Tao (Autore)

Ridong Zhang (Autore)

Yong Zhu (Autore)

Springer Verlag, Singapore, 2020

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. 

• Autore: Jili Tao, Ridong Zhang, Yong Zhu
• Editore: Springer Verlag, Singapore
• Anno: 2020
• Rilegatura: Hardback
• Pagine: 274 p.
• Dimensioni: 235 x 155 mm
• EAN: 9789811554025

Testo in English