LEADER 04850nam 2201453z- 450 001 9910367740503321 005 20210211 010 $a3-03921-929-4 035 $a(CKB)4100000010106312 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/47147 035 $a(oapen)doab47147 035 $a(EXLCZ)994100000010106312 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aEvolutionary Computation 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 online resource (424 p.) 311 08$a3-03921-928-6 330 $aComputational 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, 606 $aHistory of engineering and technology$2bicssc 610 $a?-Hilbert space 610 $a0-1 knapsack problems 610 $aacceleration search 610 $aadaptive multi-swarm 610 $aadaptive weight 610 $aarchitecture 610 $aArtificial bee colony 610 $aartificial bee colony algorithm (ABC) 610 $aautomatic identification 610 $aaverage iteration times 610 $abat algorithm (BA) 610 $abat algorithm with multiple strategy coupling (mixBA) 610 $abenchmark 610 $abenchmark functions 610 $abiology 610 $aCEC2013 benchmarks 610 $acloud model 610 $acomputation 610 $aconfidence term 610 $aconstrained optimization problems (COPs) 610 $aconvergence point 610 $aconvolutional neural network 610 $aDE algorithm 610 $adeep learning 610 $adimension learning 610 $adiscrete algorithm 610 $adispatching rule 610 $adiversity maintenance 610 $aDV-Hop algorithm 610 $aEHO 610 $aelephant herding optimization 610 $aelite strategy 610 $aenergy-efficient job shop scheduling 610 $aentropy 610 $aevolution 610 $aevolutionary 610 $aevolutionary algorithm 610 $aevolutionary algorithms (EAs) 610 $aevolutionary computation 610 $aevolutionary multi-objective optimization 610 $afacility layout design 610 $afirefly algorithm (FA) 610 $afirst-arrival picking 610 $aflexible job shop scheduling problem 610 $aFriedman test 610 $afuzzy c-means 610 $agenetic algorithm 610 $aglobal optimization 610 $aglobal optimum 610 $aglobal position updating operator 610 $agreedy optimization algorithm 610 $aindividual updating strategy 610 $aintegrated design 610 $alarge scale optimization 610 $alarge-scale 610 $alarge-scale optimization 610 $alocal search 610 $amaterial handling path 610 $amemetic algorithm 610 $aminimum load coloring 610 $aminimum total dominating set 610 $amonarch butterfly optimization 610 $amoth search algorithm 610 $amulti-objective DV-Hop localization algorithm 610 $amutation operation 610 $anonlinear convergence factor 610 $anormal cloud model 610 $aNSGA-II-DV-Hop 610 $anumerical simulation 610 $aoptimization 610 $aparticle swarm optimization 610 $aparticle swarm optimizer 610 $aquantum uncertainty property 610 $arandom weight 610 $arange detection 610 $arock types 610 $aset-union knapsack problem 610 $ashape grammar 610 $asingle loop 610 $aslicing tree structure 610 $aSPEA 2 610 $astochastic ranking (SR) 610 $asuccess rates 610 $aswarm intelligence 610 $at-test 610 $atopology structure 610 $atransfer function 610 $aurban design 610 $avariable neighborhood search 610 $awhale optimization algorithm 610 $aWilcoxon test 610 $awireless sensor networks (WSNs) 610 $aY conditional cloud generator 615 7$aHistory of engineering and technology 700 $aAlavi$b Amir$4auth$01301174 702 $aWang$b Gai-Ge$4auth 906 $aBOOK 912 $a9910367740503321 996 $aEvolutionary Computation$93025762 997 $aUNINA