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005 20240730191948.0
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020 _a9783319410098
_9978-3-319-41009-8
024 7 _a10.1007/978-3-319-41009-8
_2doi
050 4 _aQA76.9.A43
072 7 _aUMB
_2bicssc
072 7 _aCOM051300
_2bisacsh
072 7 _aUMB
_2thema
082 0 4 _a518.1
_223
245 1 0 _aAdvances in Swarm Intelligence
_h[electronic resource] :
_b7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part II /
_cedited by Ying Tan, Yuhui Shi, Li Li.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXXVII, 629 p. 260 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v9713
505 0 _aScheduling and planning -- Machine learning methods -- Clustering algorithm -- Classification -- Image classification and encryption -- Data mining -- Sensor networks and social networks -- Neural networks -- Swarm intelligence in management decision making and operations research -- Robot control -- Swarm robotics -- Intelligent energy and communications systems -- Intelligent and interactive and tutoring systems. .
520 _aThis two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016. The 130 revised regular papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in 22 cohesive sections covering major topics of swarm intelligence and related areas such as trend and models of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their applications; hybrid search optimization; particle swarm optimization; PSO applications; ant colony optimization; brain storm optimization; fireworks algorithms; multi-objective optimization; large-scale global optimization; biometrics; scheduling and planning; machine learning methods; clustering algorithm; classification; image classification and encryption; data mining; sensor networks and social networks; neural networks;swarm intelligence in management decision making and operations research; robot control; swarm robotics; intelligent energy and communications systems; and intelligent and interactive and tutoring systems. .
650 0 _aAlgorithms.
_93390
650 0 _aArtificial intelligence.
_93407
650 0 _aNumerical analysis.
_94603
650 0 _aComputer science.
_99832
650 0 _aData mining.
_93907
650 0 _aComputer simulation.
_95106
650 1 4 _aAlgorithms.
_93390
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aNumerical Analysis.
_94603
650 2 4 _aModels of Computation.
_931806
650 2 4 _aData Mining and Knowledge Discovery.
_9148031
650 2 4 _aComputer Modelling.
_9148032
700 1 _aTan, Ying.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9148033
700 1 _aShi, Yuhui.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9148034
700 1 _aLi, Li.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9148035
710 2 _aSpringerLink (Online service)
_9148036
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319410081
776 0 8 _iPrinted edition:
_z9783319410104
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v9713
_9148037
856 4 0 _uhttps://doi.org/10.1007/978-3-319-41009-8
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
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