LEADER 05623nam 22008295 450 001 996198515403316 005 20230329162741.0 010 $a3-319-20466-1 024 7 $a10.1007/978-3-319-20466-6 035 $a(CKB)3710000000436914 035 $a(SSID)ssj0001547010 035 $a(PQKBManifestationID)16141577 035 $a(PQKBTitleCode)TC0001547010 035 $a(PQKBWorkID)14796540 035 $a(PQKB)10286539 035 $a(DE-He213)978-3-319-20466-6 035 $a(MiAaPQ)EBC6285541 035 $a(MiAaPQ)EBC5587101 035 $a(Au-PeEL)EBL5587101 035 $a(OCoLC)910963614 035 $a(PPN)186399650 035 $a(EXLCZ)993710000000436914 100 $a20150601d2015 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Swarm and Computational Intelligence$b[electronic resource] $e6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part I /$fedited by Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XXXI, 600 p. 217 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v9140 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-20465-3 327 $aNovel swarm-based optimization algorithms and applications -- Particle swarm optimization -- Ant colony optimization -- Artificial bee colony algorithms -- Evolutionary and genetic algorithms -- Differential evolution -- Brain storm optimization algorithm -- Biogeography based optimization -- Cuckoo search -- Hybrid methods -- Multi-objective optimization -- Multi-agent systems and swarm robotics -- Neural networks and fuzzy methods -- Data mining approaches -- Information security -- Automation control -- Combinatorial optimization algorithms -- Scheduling and path planning -- Machine learning -- Blind sources separation -- Swarm interaction behavior -- Parameters and system optimization -- Neural networks -- Evolutionary and genetic algorithms -- Fuzzy systems -- Forecasting algorithms -- Classification -- Tracking analysis -- Simulation -- Image and texture analysis -- Dimension reduction -- System optimization -- Segmentation and detection system -- Machine translation -- Virtual management and disaster analysis. 330 $aThis book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015. The 161 revised full papers presented were carefully reviewed and selected from 294 submissions. The papers are organized in 28 cohesive sections covering all major topics of swarm intelligence and computational intelligence research and development, such as novel swarm-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches; information security; automation control; combinatorial optimization algorithms; scheduling and path planning; machine learning; blind sources separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems; forecasting algorithms; classification; tracking analysis; simulation; image and texture analysis; dimension reduction; system optimization; segmentation and detection system; machine translation; virtual management and disaster analysis. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v9140 606 $aAlgorithms 606 $aNumerical analysis 606 $aData mining 606 $aComputer simulation 606 $aArtificial intelligence 606 $aAlgorithms 606 $aNumerical Analysis 606 $aData Mining and Knowledge Discovery 606 $aComputer Modelling 606 $aArtificial Intelligence 615 0$aAlgorithms. 615 0$aNumerical analysis. 615 0$aData mining. 615 0$aComputer simulation. 615 0$aArtificial intelligence. 615 14$aAlgorithms. 615 24$aNumerical Analysis. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer Modelling. 615 24$aArtificial Intelligence. 676 $a006.3 702 $aTan$b Ying$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aShi$b Yuhui$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBuarque$b Fernando$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGelbukh$b Alexander$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDas$b Swagatam$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEngelbrecht$b Andries$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996198515403316 996 $aAdvances in Swarm and Computational Intelligence$92831568 997 $aUNISA LEADER 00981nam a2200265 i 4500 001 991003879429707536 005 20020506110219.0 008 000315s|||| it ||| | ita 020 $a8877865733 035 $ab1056746x-39ule_inst 035 $aEXGIL128430$9ExL 040 $aDip.to Filol. 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