DNA Computing Based Genetic Algorithm
Format: Hardcover
ISBN13: 9789811554025
Hardcover|9789811554025
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Overview
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.
| ISBN-13 | 9789811554025 |
|---|---|
| ISBN-10 | 9811554021 |
| Weight | 1.27 Pounds |
| Dimensions | 6.14 x 0.69 x 9.21 In |
| List Price | $169.99 |
| Edition | 1st Edition |
| Format | Hardcover |
|---|---|
| Language | English |
| Pages | ix, 274 pages |
| Publisher | Springer |
| Published On | 2020-07-01 |
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Alibris
Sparks, NV, USA
Print on demand Sewn binding. Cloth over boards. 274 p. Contains: Unspecified, Illustrations, black...
Free delivery by: 03 Apr 2026