DNA Computing Based Genetic Algorithm
Synopsis
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.
- Hakimiliki:
- 2020 Springer
Book Details
- Book Quality:
- ISBN-13:
- 9789811554032
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 2020-08-02T17:36:31Z
- Lugha:
- English
- Kategoria:
- Usage Restrictions:
- This is a copyrighted book.