LEADER 03580nam 22006855 450 001 9910483711803321 005 20200630144725.0 010 $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 $aSpringerBriefs in Computational Intelligence,$x2625-3704 311 $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,$x2625-3704 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aPlant science 606 $aBotany 606 $aMathematical optimization 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 $aPlant Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/L24000 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aPlant science. 615 0$aBotany. 615 0$aMathematical optimization. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aPlant Sciences. 615 24$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