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001 978-3-319-41009-8
003 DE-He213
005 20200421112556.0
007 cr nn 008mamaa
008 160614s2016 gw | s |||| 0|eng d
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
082 0 4 _a005.1
_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.
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 _aLecture Notes in Computer Science,
_x0302-9743 ;
_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 _aComputer science.
650 0 _aAlgorithms.
650 0 _aNumerical analysis.
650 0 _aComputers.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aComputer simulation.
650 1 4 _aComputer Science.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aNumeric Computing.
650 2 4 _aModels and Principles.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aSimulation and Modeling.
700 1 _aTan, Ying.
_eeditor.
700 1 _aShi, Yuhui.
_eeditor.
700 1 _aLi, Li.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319410081
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9713
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-41009-8
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c59155
_d59155