Cohort tntelligence: a socio-inspired optimization method:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
2017
|
| Schriftenreihe: | Intelligent Systems Reference Library
114 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 TUM01 UBY01 Volltext |
| Beschreibung: | 1 Online-Ressource (xi, 134 Seiten) Diagramme |
| ISBN: | 9783319442549 |
| ISSN: | 1868-4394 |
| DOI: | 10.1007/978-3-319-44254-9 |
Internformat
MARC
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Datensatz im Suchindex
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| _version_ | 1806180310508896256 |
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| author | Kulkarni, Anand Jayant Krishnasamy, Ganesh Abraham, Ajith 1968- |
| author_GND | (DE-588)123881315 |
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| author_role | aut aut aut |
| author_sort | Kulkarni, Anand Jayant |
| author_variant | a j k aj ajk g k gk a a aa |
| building | Verbundindex |
| bvnumber | BV043862169 |
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| dewey-sort | 16.3 |
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| discipline | Informatik Elektrotechnik Maschinenbau |
| doi_str_mv | 10.1007/978-3-319-44254-9 |
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| id | DE-604.BV043862169 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T12:22:52Z |
| institution | BVB |
| isbn | 9783319442549 |
| issn | 1868-4394 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029272243 |
| oclc_num | 960015615 |
| open_access_boolean | |
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| physical | 1 Online-Ressource (xi, 134 Seiten) Diagramme |
| psigel | ZDB-2-ENG ZDB-2-ENG_2017 |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Springer |
| record_format | marc |
| series | Intelligent Systems Reference Library |
| series2 | Intelligent systems reference library |
| spellingShingle | Kulkarni, Anand Jayant Krishnasamy, Ganesh Abraham, Ajith 1968- Cohort tntelligence: a socio-inspired optimization method Intelligent Systems Reference Library Engineering Artificial intelligence Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz |
| title | Cohort tntelligence: a socio-inspired optimization method |
| title_auth | Cohort tntelligence: a socio-inspired optimization method |
| title_exact_search | Cohort tntelligence: a socio-inspired optimization method |
| title_full | Cohort tntelligence: a socio-inspired optimization method Anand Jayant Kulkarni, Ganesh Krishnasamy, Ajith Abraham |
| title_fullStr | Cohort tntelligence: a socio-inspired optimization method Anand Jayant Kulkarni, Ganesh Krishnasamy, Ajith Abraham |
| title_full_unstemmed | Cohort tntelligence: a socio-inspired optimization method Anand Jayant Kulkarni, Ganesh Krishnasamy, Ajith Abraham |
| title_short | Cohort tntelligence: a socio-inspired optimization method |
| title_sort | cohort tntelligence a socio inspired optimization method |
| topic | Engineering Artificial intelligence Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz |
| topic_facet | Engineering Artificial intelligence Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz |
| url | https://doi.org/10.1007/978-3-319-44254-9 |
| volume_link | (DE-604)BV041145603 |
| work_keys_str_mv | AT kulkarnianandjayant cohorttntelligenceasocioinspiredoptimizationmethod AT krishnasamyganesh cohorttntelligenceasocioinspiredoptimizationmethod AT abrahamajith cohorttntelligenceasocioinspiredoptimizationmethod |