LEADER 04559nam 22008415 450 001 9910734097903321 005 20230719194128.0 010 $a3-662-43631-0 024 7 $a10.1007/978-3-662-43631-8 035 $a(CKB)3710000000521560 035 $a(SSID)ssj0001584292 035 $a(PQKBManifestationID)16265660 035 $a(PQKBTitleCode)TC0001584292 035 $a(PQKBWorkID)14864089 035 $a(PQKB)11277310 035 $a(DE-He213)978-3-662-43631-8 035 $a(MiAaPQ)EBC6314335 035 $a(MiAaPQ)EBC5578629 035 $a(Au-PeEL)EBL5578629 035 $a(OCoLC)932003022 035 $a(PPN)190532718 035 $a(EXLCZ)993710000000521560 100 $a20151008d2015 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aNatural Computing Algorithms /$fby Anthony Brabazon, Michael O'Neill, Seán McGarraghy 205 $a1st ed. 2015. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2015. 215 $a1 online resource (XX, 554 p. 164 illus., 22 illus. in color.) 225 1 $aNatural Computing Series,$x2627-6461 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-662-43630-2 327 $aIntroduction -- Introduction to Evolutionary Computing -- Genetic Algorithms -- Extending the Genetic Algorithm -- Evolution Strategies and Evolutionary Programming -- Differential Evolution -- Genetic Programming -- Particle Swarm Algorithms -- Ant Algorithms -- Honeybee Algorithms -- Other Social Algorithms -- Bacterial Foraging Algorithms -- Neural Networks for Supervised Learning -- Neural Networks for Unsupervised Learning -- Neuroevolution -- Artificial Immune Systems -- An Introduction to Developmental and Grammatical Computing -- Grammar-Based and Developmental Genetic Programming -- Grammatical Evolution -- TAG3P and Developmental TAG3P -- Genetic Regulatory Networks -- An Introduction to Physics-Inspired Computing -- Physics-Inspired Computing Algorithms -- Quantum-Inspired Evolutionary Algorithms -- Plant-Inspired Algorithms -- Chemistry-Inspired Algorithms -- Conclusions -- References -- Index. 330 $aThe field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science. 410 0$aNatural Computing Series,$x2627-6461 606 $aComputer science 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aOperations research 606 $aManagement science 606 $aSocial sciences?Mathematics 606 $aTheory of Computation 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aOperations Research, Management Science 606 $aOperations Research and Decision Theory 606 $aMathematics in Business, Economics and Finance 615 0$aComputer science. 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aOperations research. 615 0$aManagement science. 615 0$aSocial sciences?Mathematics. 615 14$aTheory of Computation. 615 24$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aOperations Research, Management Science . 615 24$aOperations Research and Decision Theory. 615 24$aMathematics in Business, Economics and Finance. 676 $a006.38 700 $aBrabazon$b Anthony$4aut$4http://id.loc.gov/vocabulary/relators/aut$0841290 702 $aO'Neill$b Michael$f1975-$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMcGarraghy$b Seán$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910734097903321 996 $aNatural Computing Algorithms$93400449 997 $aUNINA