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010   $a981-13-8196-8
024 7 $a10.1007/978-981-13-8196-6
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035   $a(DE-He213)978-981-13-8196-6
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035   $a(PPN)243766335
035   $a(EXLCZ)994100000008876875
100   $a20190709d2020      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvanced Engineering Optimization Through Intelligent Techniques $eSelect Proceedings of AEOTIT 2018 /$fedited by R. Venkata Rao, Jan Taler
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (XVIII, 861 p. 349 illus., 239 illus. in color.) 
225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v949
311   $a981-13-8195-X 
327   $a1. Applications of Advanced Optimization Techniques in Computer Science and Engineering -- 2. Applications of Advanced Optimization Techniques in Electrical Engineering -- 3. Applications of Advanced Optimization Techniques in Civil and Structural Engineering -- 4. Applications of Advanced Optimization Techniques in Mechanical Engineering -- 5. Applications of Advanced Optimization Techniques in Industrial and Manufacturing Engineering -- 6. Applications of Advanced Optimization Techniques in Electronics Engineering -- 7. Applications of Advanced Optimization Techniques in Chemical Engineering -- 8. Applications of Advanced Optimization Techniques in Biotechnology -- 9. Applications of Advanced Optimization Techniques in Interdisciplinary Fields.
330   $aThis book comprises select peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018. The book combines contributions from academics and industry professionals, and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer and electronics engineering. Different optimization techniques and algorithms such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, artificial immune algorithm (AIA), teaching-learning-based optimization (TLBO) algorithm and many other latest meta-heuristic techniques and their applications are discussed. This book will serve as a valuable reference for students, researchers and practitioners and help them in solving a wide range of optimization problems. .
410  0$aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v949
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aControl engineering
606   $aRobotics
606   $aMechatronics
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aControl, Robotics, Mechatronics$3https://scigraph.springernature.com/ontologies/product-market-codes/T19000
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aControl engineering.
615  0$aRobotics.
615  0$aMechatronics.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aControl, Robotics, Mechatronics.
676   $a006.3
702   $aVenkata Rao$b R$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aTaler$b Jan$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910484592303321
996   $aAdvanced Engineering Optimization Through Intelligent Techniques$92230677
997   $aUNINA