000938339 000__ 02642cam\a2200469Ia\4500 000938339 001__ 938339 000938339 005__ 20230306151802.0 000938339 006__ m\\\\\o\\d\\\\\\\\ 000938339 007__ cr\un\nnnunnun 000938339 008__ 200718s2020\\\\si\\\\\\ob\\\\000\0\eng\d 000938339 019__ $$a1176316249$$a1179000392 000938339 020__ $$a9789811554032$$q(electronic book) 000938339 020__ $$a981155403X$$q(electronic book) 000938339 020__ $$z9789811554025 000938339 020__ $$z9811554021 000938339 0247_ $$a10.1007/978-981-15-5 000938339 035__ $$aSP(OCoLC)on1175912540 000938339 035__ $$aSP(OCoLC)1175912540$$z(OCoLC)1176316249$$z(OCoLC)1179000392 000938339 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dEBLCP$$dYDX$$dLQU 000938339 049__ $$aISEA 000938339 050_4 $$aQA402.5 000938339 08204 $$a519.6/25$$223 000938339 1001_ $$aTao, Jili. 000938339 24510 $$aDNA computing based genetic algorithm :$$bapplications in industrial process modeling and control /$$cJili Tao, Ridong Zhang, Yong Zhu. 000938339 260__ $$aSingapore :$$bSpringer,$$c2020. 000938339 300__ $$a1 online resource (280 pages) 000938339 336__ $$atext$$btxt$$2rdacontent 000938339 337__ $$acomputer$$bc$$2rdamedia 000938339 338__ $$aonline resource$$bcr$$2rdacarrier 000938339 504__ $$aIncludes bibliographical references. 000938339 506__ $$aAccess limited to authorized users. 000938339 520__ $$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. 000938339 588__ $$aDescription based on print version record. 000938339 650_0 $$aGenetic algorithms. 000938339 650_0 $$aMolecular computers. 000938339 7001_ $$aZhang, Ridong. 000938339 7001_ $$aZhu, Yong. 000938339 77608 $$iPrint version:$$aTao, Jili$$tDNA Computing Based Genetic Algorithm : Applications in Industrial Process Modeling and Control$$dSingapore : Springer Singapore Pte. Limited,c2020$$z9789811554025 000938339 852__ $$bebk 000938339 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-5403-2$$zOnline Access$$91397441.1 000938339 909CO $$ooai:library.usi.edu:938339$$pGLOBAL_SET 000938339 980__ $$aEBOOK 000938339 980__ $$aBIB 000938339 982__ $$aEbook 000938339 983__ $$aOnline 000938339 994__ $$a92$$bISE