| 书目名称 | DNA Computing Based Genetic Algorithm |
| 副标题 | Applications in Indu |
| 编辑 | Jili Tao,Ridong Zhang,Yong Zhu |
| 视频video | http://file.papertrans.cn/261/260121/260121.mp4 |
| 概述 | Provides step-by-step tutorials and program codes.Presents GA applications for single-objective and multi-objective optimization in connection with nonlinear system modeling and distributed parameter |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2020 |
| 关键词 | Genetic algorithm; Neural network; Multi-objective optimization; Model predictive control; Fuzzy control |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-5403-2 |
| isbn_softcover | 978-981-15-5405-6 |
| isbn_ebook | 978-981-15-5403-2 |
| copyright | Springer Nature Singapore Pte Ltd. 2020 |
|Archiver|手机版|小黑屋|
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