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001 978-3-319-50307-3
003 DE-He213
005 20200421112042.0
007 cr nn 008mamaa
008 161124s2016 gw | s |||| 0|eng d
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
082 0 4 _a005.1
_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.
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 _aLecture Notes in Computer Science,
_x0302-9743 ;
_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 _aComputer science.
650 0 _aMicroprocessors.
650 0 _aSpecial purpose computers.
650 0 _aArchitecture, Computer.
650 0 _aAlgorithms.
650 0 _aComputer science
_xMathematics.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputer System Implementation.
650 2 4 _aSpecial Purpose and Application-Based Systems.
650 2 4 _aProcessor Architectures.
650 2 4 _aDiscrete Mathematics in Computer Science.
700 1 _aSiarry, Patrick.
_eeditor.
700 1 _aIdoumghar, Lhassane.
_eeditor.
700 1 _aLepagnot, Julien.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319503066
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v10103
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-50307-3
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c56712
_d56712