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

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DNA Computing Based Genetic Algorithm: Applications in Industrial Process Modeling and Control image
ISBN-10:

9811554021

ISBN-13:

9789811554025

Edition: 1st ed. 2020
Released: Jul 01, 2020
Publisher: Springer
Format: Hardcover, 283 pages
Related ISBN: 9789811554056

Description:

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. 

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