DNA Computing Based Genetic Algorithm

Applications in Industrial Process Modeling and Control

By: Jili Tao, Yong Zhu, Ridong Zhang

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Hardcover | 1 July 2020

At a Glance

Hardcover
286 Pages

Dimensions(cm)
23.5 x 15.5 x 1.75

Hardcover

$249.00

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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.

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