DNA Computing Based Genetic Algorithm: Applications in Industrial Process Modeling and Control
by None
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…
Read More ↓Title Statements
- Full title :DNA Computing Based Genetic Algorithm : Applications in Industrial Process Modeling and Control / by Jili Tao, Ridong Zhang, Yong Zhu.
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.
Read More ↓Edition Statements
- Publication Date:2020 ;
- Edition:1st ed. 2020
Publication Statements
- Publisher(s):Imprint: Springer, Springer Singapore
- Place of Publication:Singapore
- Language:eng
- Publication Date:2020 ;
The Physical Object
- Description:IX, 274 p. 187 illus., 108 illus. in color. : online resource.
Edition Identifiers
- ISBN:9789811554032, 981155403X, 9811554021, 9789811554025
- oclc:on1201294184
- LC Classification:QA71-90
- Dewey Decimal:004
Table of Contents
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 Remarks.
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