LEADER 03377nam 22005535 450 001 9910299562503321 005 20251113203109.0 010 $a3-662-55663-4 024 7 $a10.1007/978-3-662-55663-4 035 $a(CKB)4340000000223609 035 $a(DE-He213)978-3-662-55663-4 035 $a(MiAaPQ)EBC5162850 035 $a(PPN)221247610 035 $a(EXLCZ)994340000000223609 100 $a20171125d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvolutionary Algorithms, Swarm Dynamics and Complex Networks $eMethodology, Perspectives and Implementation /$fedited by Ivan Zelinka, Guanrong Chen 205 $a1st ed. 2018. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2018. 215 $a1 online resource (XXII, 312 p. 194 illus., 155 illus. in color.) 225 1 $aEmergence, Complexity and Computation,$x2194-7295 ;$v26 311 08$a3-662-55661-8 320 $aIncludes bibliographical references at the end of each chapters. 330 $aEvolutionary algorithms constitute a class of well-known algorithms, which are designed based on the Darwinian theory of evolution and Mendelian theory of heritage. They are partly based on random and partly based on deterministic principles. Due to this nature, it is challenging to predict and control its performance in solving complex nonlinear problems. Recently, the study of evolutionary dynamics is focused not only on the traditional investigations but also on the understanding and analyzing new principles, with the intention of controlling and utilizing their properties and performances toward more effective real-world applications. In this book, based on many years of intensive research of the authors, is proposing novel ideas about advancing evolutionary dynamics towards new phenomena including many new topics, even the dynamics of equivalent social networks. In fact, it includes more advanced complex networks and incorporates them with the CMLs (coupled map lattices), whichare usually used for spatiotemporal complex systems simulation and analysis, based on the observation that chaos in CML can be controlled, so does evolution dynamics. All the chapter authors are, to the best of our knowledge, originators of the ideas mentioned above and researchers on evolutionary algorithms and chaotic dynamics as well as complex networks, who will provide benefits to the readers regarding modern scientific research on related subjects. . 410 0$aEmergence, Complexity and Computation,$x2194-7295 ;$v26 606 $aDynamics 606 $aNonlinear theories 606 $aGraph theory 606 $aApplied Dynamical Systems 606 $aGraph Theory 615 0$aDynamics. 615 0$aNonlinear theories. 615 0$aGraph theory. 615 14$aApplied Dynamical Systems. 615 24$aGraph Theory. 676 $a006.3823 702 $aZelinka$b Ivan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChen$b Guanrong$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299562503321 996 $aEvolutionary Algorithms, Swarm Dynamics and Complex Networks$92535145 997 $aUNINA