Dna computing based genetic algorithm [Documento eletrónico] : applications in industrial process modeling and control / by Jili Tao, Ridong Zhang, Yong Zhu
Language: eng.Country: SG - Singapura.Publication: Singapore : Springer Nature Singapore, Springer, 2020Description: IX, 274 p. : il.ISBN: 978-981-15-5403-2.Subject - Topical Name: Mathematics -- Data processing | Control engineering | Artificial intelligence Online Resources:Click here to access onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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E-Books | Biblioteca NOVA FCT Online | Não Ficção | QA71.SPR FCT (Browse shelf(Opens below)) | 1 | Available | 95629 |
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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