TY - GEN digital ID - 131782541 TI - DNA Computing Based Genetic Algorithm : Applications in Industrial Process Modeling and Control AU - Tao, Jili AU - Zhang, Ridong AU - Zhu, Yong PY - 2020 SN - 9789811554032 PB - Singapore Springer Singapore, Imprint: Springer DB - UniCat KW - Mathematics KW - Electrical engineering KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Computer. Automation KW - computers KW - KI (kunstmatige intelligentie) KW - automatische regeltechniek UR - https://www.unicat.be/uniCat?func=search&query=sysid:131782541 AB - 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. . ER -