{"product_id":"9789811554025","title":"DNA Computing Based Genetic Algorithm: Applications in Industrial Process Modeling and Control","description":"\u003ch1\u003eDNA Computing Based Genetic Algorithm: Applications in Industrial Process Modeling and Control\u003c\/h1\u003e \u003ch2\u003eTao, Jili; Zhang, Ridong; Zhu, Yong\u003c\/h2\u003e \u003cp\u003eThis 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. \u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2020-07-01\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9789811554025\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-981-15-5403-2\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 274\u003c\/p\u003e ","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":46548023378060,"sku":"9789811554025","price":152.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789811554025.jpg?v=1776044938","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9789811554025","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}