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

by Jili Tao, Ridong Zhang, Yong Zhu

Book Overview

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 & GA based ARX plus RBF Modeling for Nonlinear DPS.- GA based predictive control design.- MOGA based PID controller design.- Concluding...

• Format: Paperback
• Language: English
• ISBN: 9811554056
• ISBN13: 9789811554056
• Release Date: July 2021
• Publisher: Springer
• Length: 274 Pages
• Weight: 0.89 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"