LEADER 00877nam0-2200265 --450 001 9910295155703321 005 20181214102458.0 010 $a978-1-78811-092-1 100 $a20181214d--------kmuy0itay5050----ba 101 0 $aeng 102 $aGB 200 1 $aChina's rise and australia-japan-us relations$eprimacy and leadership in east asia$fMichael Heazle, Andrew O'Neil 210 1$aCHELTENHAM ; NORTHAMPTON$bEdward Elgar Pub., Inc.,$c2018 215 $axvi, 273p.$d23 cm 225 0 $aNew horizons in east asian politics series 610 $aCina$aRelazioni internazionali 676 $a327.51$v23$zita 700 1$aHeazle,$bMichael$0760942 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a9910295155703321 952 $aXIII A 493$b1760/18$fFSPBC 959 $aFSPBC 996 $aChina's rise and australia-japan-us relations$91540317 997 $aUNINA LEADER 03213nam 22006615 450 001 9910483711803321 005 20250614004803.0 010 $a3-030-05551-5 024 7 $a10.1007/978-3-030-05551-6 035 $a(CKB)4100000007334838 035 $a(DE-He213)978-3-030-05551-6 035 $a(MiAaPQ)EBC5627308 035 $z(PPN)258861878 035 $a(PPN)243770448 035 $a(EXLCZ)994100000007334838 100 $a20181230d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature /$fby Camilo Caraveo, Fevrier Valdez, Oscar Castillo 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (VIII, 57 p.) 225 1 $aSpringerBriefs in Computational Intelligence,$x2625-3712 311 08$a3-030-05550-7 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Theory and Background -- Self-defense of the Plants -- Predator-prey mode -- Proposed Method -- Case studies -- Conclusions. 330 $aThis book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator?prey mathematical model originally proposed by Lotka and Volterra, consisting of two nonlinear first-order differential equations, which allow the growth of two interacting populations (prey and predator) to be modeled. The proposed meta-heuristic is able to produce excellent results in several sets of benchmark optimization problems. Further, fuzzy logic is used for dynamic parameter adaptation in the algorithm. 410 0$aSpringerBriefs in Computational Intelligence,$x2625-3712 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aBotany 606 $aMathematical optimization 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aPlant Science 606 $aOptimization 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aBotany. 615 0$aMathematical optimization. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aPlant Science. 615 24$aOptimization. 676 $a006.3 700 $aCaraveo$b Camilo$4aut$4http://id.loc.gov/vocabulary/relators/aut$01216589 702 $aValdez$b Fevrier$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aCastillo$b Oscar$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483711803321 996 $aA New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature$92812810 997 $aUNINA LEADER 01805nam 2200373z- 450 001 9910346901903321 005 20210211 010 $a1000024807 035 $a(CKB)4920000000101503 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/50392 035 $a(oapen)doab50392 035 $a(EXLCZ)994920000000101503 100 $a20202102d2012 |y 0 101 0 $ager 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aIntegration von Nachhaltigkeitsaspekten in Prozesse des immobilienwirtschaftlichen Risikomanagements 210 $cKIT Scientific Publishing$d2012 215 $a1 online resource (XVI, 241 p. p.) 225 1 $aKarlsruher Schriften zur Bau-, Wohnungs- und Immobilienwirtschaft / Hrsg.: Karlsruher Institut für Technologie, Lehrstuhl 311 08$a3-86644-733-7 330 $aDie vorliegende Arbeit bescha?ftigt sich mir den theoretischen Weiterentwicklungspotenzialen der qualitativen Risikobewertung von Immobilien vor dem Hintergrund einer sich vera?ndernden Umwelt oder anders ausgedru?ckt, mit der Integration von Nachhaltigkeitsaspekten in die qualitative Immobilienrisikobewertung. U?ber eine inhaltliche Weiterentwicklung hinaus werden konzeptionelle Weiterentwicklungsvorschla?ge hinsichtlich einer Regionalisierung und Dynamisierung der Risikobewertung aufgezeigt. 610 $aImmobilienwirtschaft 610 $aMegatrends 610 $aNachhaltigkeit 610 $aRisikomanagement 610 $aWohnungswirtschaft 700 $aRohde$b Christoph$4auth$01326684 906 $aBOOK 912 $a9910346901903321 996 $aIntegration von Nachhaltigkeitsaspekten in Prozesse des immobilienwirtschaftlichen Risikomanagements$93037662 997 $aUNINA