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DNA Computing Based Genetic Algorithm

DNA Computing Based Genetic Algorithm

Applications in Industrial Process Modeling and Control

by Jili TaoRidong Zhang and Yong Zhu
Paperback
Publication Date: 01/07/2021

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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.
ISBN:
9789811554056
9789811554056
Category:
Maths for scientists
Format:
Paperback
Publication Date:
01-07-2021
Publisher:
Springer Verlag, Singapore
Country of origin:
Singapore
Pages:
274
Dimensions (mm):
235x155mm
Weight:
0.44kg

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