03514nam 22005655 450 99641826210331620200705213955.0981-15-5403-X10.1007/978-981-15-5403-2(CKB)4100000011325577(DE-He213)978-981-15-5403-2(MiAaPQ)EBC6264942(PPN)269145737(EXLCZ)99410000001132557720200701d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierDNA Computing Based Genetic Algorithm[electronic resource] Applications in Industrial Process Modeling and Control /by Jili Tao, Ridong Zhang, Yong Zhu1st ed. 2020.Singapore :Springer Singapore :Imprint: Springer,2020.1 online resource (IX, 274 p. 187 illus., 108 illus. in color.) 981-15-5402-1 Introduction -- DNA computing based RNA-GA -- DNA double-helix based hybrid genetic algorithm -- DNA computing based multi-objective genetic algorithm -- Parameter identification and optimization for chemical process -- RBF neural network for nonlinear SISO system -- T-S Fuzzy neural network for nonlinear SISO system -- PCA & GA based ARX plus RBF Modeling for Nonlinear DPS -- GA based predictive control design -- MOGA based PID controller design -- Concluding Remarks.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. .Computer mathematicsControl engineeringArtificial intelligenceComputational Science and Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/M14026Control and Systems Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/T19010Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computer mathematics.Control engineering.Artificial intelligence.Computational Science and Engineering.Control and Systems Theory.Artificial Intelligence.519.7Tao Jiliauthttp://id.loc.gov/vocabulary/relators/aut1021655Zhang Ridongauthttp://id.loc.gov/vocabulary/relators/autZhu Yongauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK996418262103316DNA Computing Based Genetic Algorithm2424737UNISA