LEADER 03514nam 22005655 450 001 996418262103316 005 20200705213955.0 010 $a981-15-5403-X 024 7 $a10.1007/978-981-15-5403-2 035 $a(CKB)4100000011325577 035 $a(DE-He213)978-981-15-5403-2 035 $a(MiAaPQ)EBC6264942 035 $a(PPN)269145737 035 $a(EXLCZ)994100000011325577 100 $a20200701d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDNA Computing Based Genetic Algorithm$b[electronic resource] $eApplications in Industrial Process Modeling and Control /$fby Jili Tao, Ridong Zhang, Yong Zhu 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (IX, 274 p. 187 illus., 108 illus. in color.) 311 $a981-15-5402-1 327 $aIntroduction -- 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. 330 $aThis 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. . 606 $aComputer mathematics 606 $aControl engineering 606 $aArtificial intelligence 606 $aComputational Science and Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/M14026 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputer mathematics. 615 0$aControl engineering. 615 0$aArtificial intelligence. 615 14$aComputational Science and Engineering. 615 24$aControl and Systems Theory. 615 24$aArtificial Intelligence. 676 $a519.7 700 $aTao$b Jili$4aut$4http://id.loc.gov/vocabulary/relators/aut$01021655 702 $aZhang$b Ridong$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZhu$b Yong$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418262103316 996 $aDNA Computing Based Genetic Algorithm$92424737 997 $aUNISA