DNA Computing Based Genetic Algorithm
Jili Tao (),
Ridong Zhang () and
Yong Zhu ()
Additional contact information
Jili Tao: NingboTech University, School of Information Science and Engineering
Ridong Zhang: Hangzhou Dianzi University, The Belt and Road Information Research Institute
Yong Zhu: NingboTech University, School of Information Science and Engineering
in Springer Books from Springer
Date: 2020
ISBN: 978-981-15-5403-2
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Chapters in this book:
- Ch Chapter 1 Introduction
- Jili Tao, Ridong Zhang and Yong Zhu
- Ch Chapter 10 Further Idea on Optimal Q-Learning Fuzzy Energy Controller for FC/SC HEV
- Jili Tao, Ridong Zhang and Yong Zhu
- Ch Chapter 2 DNA Computing Based RNA Genetic Algorithm
- Jili Tao, Ridong Zhang and Yong Zhu
- Ch Chapter 3 DNA Double-Helix and SQP Hybrid Genetic Algorithm
- Jili Tao, Ridong Zhang and Yong Zhu
- Ch Chapter 4 DNA Computing Based Multi-objective Genetic Algorithm
- Jili Tao, Ridong Zhang and Yong Zhu
- Ch Chapter 5 Parameter Identification and Optimization of Chemical Processes
- Jili Tao, Ridong Zhang and Yong Zhu
- Ch Chapter 6 GA-Based RBF Neural Network for Nonlinear SISO System
- Jili Tao, Ridong Zhang and Yong Zhu
- Ch Chapter 7 GA Based Fuzzy Neural Network Modeling for Nonlinear SISO System
- Jili Tao, Ridong Zhang and Yong Zhu
- Ch Chapter 8 PCA and GA Based ARX Plus RBF Modeling for Nonlinear DPS
- Jili Tao, Ridong Zhang and Yong Zhu
- Ch Chapter 9 GA-Based Controller Optimization Design
- Jili Tao, Ridong Zhang and Yong Zhu
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-981-15-5403-2
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DOI: 10.1007/978-981-15-5403-2
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