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020 _a9783319503073
_9978-3-319-50307-3
024 7 _a10.1007/978-3-319-50307-3
_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 _aSwarm Intelligence Based Optimization
_h[electronic resource] :
_bSecond International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016, Revised Selected Papers /
_cedited by Patrick Siarry, Lhassane Idoumghar, Julien Lepagnot.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aIX, 125 p. 56 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 ;
_v10103
505 0 _aTheoretical advances of swarm intelligence metaheuristics -- Combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization -- Artificial immune systems, particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm -- Hybridization of algorithms -- Parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles -- Adaptation and applications of swarm intelligence principles to real world problems in various domains.
520 _aThis book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016. The 9 full papers presented were carefully reviewed and selected from 20 submissions. They are centered around the following topics: theoretical advances of swarm intelligence metaheuristics; combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems, particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm; hybridization of algorithms; parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications of swarm intelligence principles to real world problems in various domains.
650 0 _aAlgorithms.
_93390
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer systems.
_9152142
650 0 _aComputers, Special purpose.
_946653
650 0 _aMicroprocessors.
_9152143
650 0 _aComputer architecture.
_93513
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aDiscrete mathematics.
_912873
650 1 4 _aAlgorithms.
_93390
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer System Implementation.
_938514
650 2 4 _aSpecial Purpose and Application-Based Systems.
_946654
650 2 4 _aProcessor Architectures.
_9152144
650 2 4 _aDiscrete Mathematics in Computer Science.
_931837
700 1 _aSiarry, Patrick.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9152145
700 1 _aIdoumghar, Lhassane.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9152146
700 1 _aLepagnot, Julien.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9152147
710 2 _aSpringerLink (Online service)
_9152148
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319503066
776 0 8 _iPrinted edition:
_z9783319503080
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v10103
_9152149
856 4 0 _uhttps://doi.org/10.1007/978-3-319-50307-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
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