DNA Computing Based Genetic Algorithm: Applications in Industrial Process Modeling and Control
Jili Tao, "DNA Computing Based Genetic Algorithm: Applications in Industrial Process Modeling and Control"
English | ISBN: 9811554021 | 2020 | 283 pages | EPUB, PDF | 31 MB + 25 MB
English | ISBN: 9811554021 | 2020 | 283 pages | EPUB, PDF | 31 MB + 25 MB
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.