Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/857
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dc.contributor.authorTan, Ying. ;en_US
dc.contributor.authorShi, Yuhui. ;en_US
dc.contributor.authorTang, Qirong. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:22:47Z-
dc.date.available2020-05-17T08:22:47Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319938158 ;en_US
dc.identifier.isbn9783319938141 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/857-
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.description005.1 ; 23 ;en_US
dc.descriptionPrinted edition: ; 9783319938141. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThe two-volume set of LNCS 10941 and 10942 constitutes the proceedings of the 9th International Conference on Advances in Swarm Intelligence, ICSI 2018, held in Shanghai, China, in June 2018. The total of 113 papers presented in these volumes was carefully reviewed and selected from 197 submissions. The papers were organized in topical sections as follows: theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithms; bacterial foraging optimization; artificial immune system; hydrologic cycle optimization; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization; multi-agent systems; swarm robotics; fuzzy logic approaches; planning and routing problems; recommendation in social media; prediction, classification; finding patterns; image enhancement; deep learning. . ;en_US
dc.description.statementofresponsibilityedited by Ying Tan, Yuhui Shi, Qirong Tang.en_US
dc.description.tableofcontentsTheories and models of swarm intelligence -- ant colony optimization; particle swarm optimization -- artificial bee colony algorithms -- genetic algorithms -- differential evolution -- fireworks algorithms -- bacterial foraging optimization -- artificial immune system -- hydrologic cycle optimization -- other swarm-based optimization algorithms -- hybrid optimization algorithms -- multi-objective optimization -- large-scale global optimization -- multi-agent systems -- swarm robotics; fuzzy logic approaches -- planning and routing problems -- recommendation in social media -- prediction -- classification -- finding patterns -- image enhancement -- deep learning. ;en_US
dc.format.extentXXIV, 639 p. 183 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10941. ;en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10941. ;en_US
dc.relation.haspart9783319938141.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Communication Systemsen_US
dc.subjectSpecial Purpose Computersen_US
dc.subjectSoftware Engineeringen_US
dc.subjectAlgorithmsen_US
dc.subjectComputersen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectComputer Scienceen_US
dc.subjectAlgorithm Analysis and Problem Complexity. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectComputer Communication Networksen_US
dc.subjectSpecial Purpose and Application-Based Systems. ;en_US
dc.subjectSoftware Engineeringen_US
dc.subjectModels and Principles. ;en_US
dc.subject.lccQA76.9.A43 ;en_US
dc.titleAdvances in Swarm Intelligenceen_US
dc.title.alternative9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part I /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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Full metadata record
DC FieldValueLanguage
dc.contributor.authorTan, Ying. ;en_US
dc.contributor.authorShi, Yuhui. ;en_US
dc.contributor.authorTang, Qirong. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:22:47Z-
dc.date.available2020-05-17T08:22:47Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319938158 ;en_US
dc.identifier.isbn9783319938141 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/857-
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.description005.1 ; 23 ;en_US
dc.descriptionPrinted edition: ; 9783319938141. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThe two-volume set of LNCS 10941 and 10942 constitutes the proceedings of the 9th International Conference on Advances in Swarm Intelligence, ICSI 2018, held in Shanghai, China, in June 2018. The total of 113 papers presented in these volumes was carefully reviewed and selected from 197 submissions. The papers were organized in topical sections as follows: theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithms; bacterial foraging optimization; artificial immune system; hydrologic cycle optimization; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization; multi-agent systems; swarm robotics; fuzzy logic approaches; planning and routing problems; recommendation in social media; prediction, classification; finding patterns; image enhancement; deep learning. . ;en_US
dc.description.statementofresponsibilityedited by Ying Tan, Yuhui Shi, Qirong Tang.en_US
dc.description.tableofcontentsTheories and models of swarm intelligence -- ant colony optimization; particle swarm optimization -- artificial bee colony algorithms -- genetic algorithms -- differential evolution -- fireworks algorithms -- bacterial foraging optimization -- artificial immune system -- hydrologic cycle optimization -- other swarm-based optimization algorithms -- hybrid optimization algorithms -- multi-objective optimization -- large-scale global optimization -- multi-agent systems -- swarm robotics; fuzzy logic approaches -- planning and routing problems -- recommendation in social media -- prediction -- classification -- finding patterns -- image enhancement -- deep learning. ;en_US
dc.format.extentXXIV, 639 p. 183 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10941. ;en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10941. ;en_US
dc.relation.haspart9783319938141.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Communication Systemsen_US
dc.subjectSpecial Purpose Computersen_US
dc.subjectSoftware Engineeringen_US
dc.subjectAlgorithmsen_US
dc.subjectComputersen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectComputer Scienceen_US
dc.subjectAlgorithm Analysis and Problem Complexity. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectComputer Communication Networksen_US
dc.subjectSpecial Purpose and Application-Based Systems. ;en_US
dc.subjectSoftware Engineeringen_US
dc.subjectModels and Principles. ;en_US
dc.subject.lccQA76.9.A43 ;en_US
dc.titleAdvances in Swarm Intelligenceen_US
dc.title.alternative9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part I /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319938141.pdf38.33 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTan, Ying. ;en_US
dc.contributor.authorShi, Yuhui. ;en_US
dc.contributor.authorTang, Qirong. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:22:47Z-
dc.date.available2020-05-17T08:22:47Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319938158 ;en_US
dc.identifier.isbn9783319938141 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/857-
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.description005.1 ; 23 ;en_US
dc.descriptionPrinted edition: ; 9783319938141. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThe two-volume set of LNCS 10941 and 10942 constitutes the proceedings of the 9th International Conference on Advances in Swarm Intelligence, ICSI 2018, held in Shanghai, China, in June 2018. The total of 113 papers presented in these volumes was carefully reviewed and selected from 197 submissions. The papers were organized in topical sections as follows: theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithms; bacterial foraging optimization; artificial immune system; hydrologic cycle optimization; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization; multi-agent systems; swarm robotics; fuzzy logic approaches; planning and routing problems; recommendation in social media; prediction, classification; finding patterns; image enhancement; deep learning. . ;en_US
dc.description.statementofresponsibilityedited by Ying Tan, Yuhui Shi, Qirong Tang.en_US
dc.description.tableofcontentsTheories and models of swarm intelligence -- ant colony optimization; particle swarm optimization -- artificial bee colony algorithms -- genetic algorithms -- differential evolution -- fireworks algorithms -- bacterial foraging optimization -- artificial immune system -- hydrologic cycle optimization -- other swarm-based optimization algorithms -- hybrid optimization algorithms -- multi-objective optimization -- large-scale global optimization -- multi-agent systems -- swarm robotics; fuzzy logic approaches -- planning and routing problems -- recommendation in social media -- prediction -- classification -- finding patterns -- image enhancement -- deep learning. ;en_US
dc.format.extentXXIV, 639 p. 183 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10941. ;en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10941. ;en_US
dc.relation.haspart9783319938141.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Communication Systemsen_US
dc.subjectSpecial Purpose Computersen_US
dc.subjectSoftware Engineeringen_US
dc.subjectAlgorithmsen_US
dc.subjectComputersen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectComputer Scienceen_US
dc.subjectAlgorithm Analysis and Problem Complexity. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectComputer Communication Networksen_US
dc.subjectSpecial Purpose and Application-Based Systems. ;en_US
dc.subjectSoftware Engineeringen_US
dc.subjectModels and Principles. ;en_US
dc.subject.lccQA76.9.A43 ;en_US
dc.titleAdvances in Swarm Intelligenceen_US
dc.title.alternative9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part I /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319938141.pdf38.33 MBAdobe PDFThumbnail
Preview File