DNA Computing Based Genetic Algorithm
Produktnummer:
18c48a4a193218490cab49b3cf2eb0da04
| Autor: | Tao, Jili Zhang, Ridong Zhu, Yong |
|---|---|
| Themengebiete: | Distributed parameter modeling Fuzzy control Genetic algorithm Model predictive control Multi-objective optimization Neural network Nonlinear modeling Principle component analysis Q-learning |
| Veröffentlichungsdatum: | 01.07.2021 |
| EAN: | 9789811554056 |
| Sprache: | Englisch |
| Seitenzahl: | 274 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer Singapore |
| Untertitel: | Applications in Industrial Process Modeling and Control |
Produktinformationen "DNA Computing Based Genetic Algorithm"
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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