01469nam0 2200361 i 450 SUN012472020200324112332.6650.00N978331965969520191024d2018 |0engc50 baengCH|||| |||||*Polysaccharides as Battery ComponentsStefan SpirkCham : Springer, 2018XI59 p.ill. ; 24 cmPubblicazione in formato elettronico001SUN01236512001 *Biobased Polymers210 ChamSpringer.CHChamSUNL001889530.417Fisica superficiale22621.312136Fisica applicata. Generazione eolica22541.37Elettrochimica e magnetochimica22530.4175Film sottili22621.3126Modificazione e accumulazione di energia22333.794Risorse di energia rinnovabili22Spirk, StefanSUNV096161768477SpringerSUNV000178650ITSOL20200921RICAhttps://link.springer.com/book/10.1007%2F978-3-319-65969-5#tocSUN0124720UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE17CONS e-book 2112 17BIB2112 26 20191024 Polysaccharides as Battery Components1565468UNICAMPANIA04879nam 2201465z- 450 9910367740503321202102113-03921-929-4(CKB)4100000010106312(oapen)https://directory.doabooks.org/handle/20.500.12854/47147(oapen)doab47147(oapen)47147(EXLCZ)99410000001010631220202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierEvolutionary ComputationMDPI - Multidisciplinary Digital Publishing Institute20191 online resource (424 p.)3-03921-928-6 Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological world, mimic the physiological structure and bodily functions of the organism,History of engineering and technologybicssc?-Hilbert space0-1 knapsack problemsacceleration searchadaptive multi-swarmadaptive weightarchitectureArtificial bee colonyartificial bee colony algorithm (ABC)automatic identificationaverage iteration timesbat algorithm (BA)bat algorithm with multiple strategy coupling (mixBA)benchmarkbenchmark functionsbiologyCEC2013 benchmarkscloud modelcomputationconfidence termconstrained optimization problems (COPs)convergence pointconvolutional neural networkDE algorithmdeep learningdimension learningdiscrete algorithmdispatching rulediversity maintenanceDV-Hop algorithmEHOelephant herding optimizationelite strategyenergy-efficient job shop schedulingentropyevolutionevolutionaryevolutionary algorithmevolutionary algorithms (EAs)evolutionary computationevolutionary multi-objective optimizationfacility layout designfirefly algorithm (FA)first-arrival pickingflexible job shop scheduling problemFriedman testfuzzy c-meansgenetic algorithmglobal optimizationglobal optimumglobal position updating operatorgreedy optimization algorithmindividual updating strategyintegrated designlarge scale optimizationlarge-scalelarge-scale optimizationlocal searchmaterial handling pathmemetic algorithmminimum load coloringminimum total dominating setmonarch butterfly optimizationmoth search algorithmmulti-objective DV-Hop localization algorithmmutation operationnonlinear convergence factornormal cloud modelNSGA-II-DV-Hopnumerical simulationoptimizationparticle swarm optimizationparticle swarm optimizerquantum uncertainty propertyrandom weightrange detectionrock typesset-union knapsack problemshape grammarsingle loopslicing tree structureSPEA 2stochastic ranking (SR)success ratesswarm intelligencet-testtopology structuretransfer functionurban designvariable neighborhood searchwhale optimization algorithmWilcoxon testwireless sensor networks (WSNs)Y conditional cloud generatorHistory of engineering and technologyAlavi Amirauth1301174Wang Gai-GeauthBOOK9910367740503321Evolutionary Computation3025762UNINA