Evolutionary Multi-Task Optimization: Foundations and Methodologies
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Nature Singapore
2023
Singapore Springer |
| Ausgabe: | 1st ed. 2023 |
| Schriftenreihe: | Machine Learning: Foundations, Methodologies, and Applications
|
| Schlagworte: | |
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| Beschreibung: | 1 Online-Ressource (X, 219 p. 1 illus) |
| ISBN: | 9789811956508 |
| ISSN: | 2730-9916 |
| DOI: | 10.1007/978-981-19-5650-8 |
Internformat
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| author | Feng, Liang Gupta, Abhishek Tan, Kay Chen Ong, Yew Soon |
| author_facet | Feng, Liang Gupta, Abhishek Tan, Kay Chen Ong, Yew Soon |
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| author_sort | Feng, Liang |
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| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-981-19-5650-8 |
| edition | 1st ed. 2023 |
| format | Electronic eBook |
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| id | DE-604.BV048886145 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:47:15Z |
| indexdate | 2024-08-01T11:00:14Z |
| institution | BVB |
| isbn | 9789811956508 |
| issn | 2730-9916 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034150789 |
| oclc_num | 1376410219 |
| open_access_boolean | |
| owner | DE-860 DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 |
| owner_facet | DE-860 DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 |
| physical | 1 Online-Ressource (X, 219 p. 1 illus) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2023 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer Nature Singapore Springer |
| record_format | marc |
| series2 | Machine Learning: Foundations, Methodologies, and Applications |
| spellingShingle | Feng, Liang Gupta, Abhishek Tan, Kay Chen Ong, Yew Soon Evolutionary Multi-Task Optimization Foundations and Methodologies Artificial Intelligence Machine Learning Optimization Computational Intelligence Artificial intelligence Machine learning Mathematical optimization Computational intelligence |
| title | Evolutionary Multi-Task Optimization Foundations and Methodologies |
| title_auth | Evolutionary Multi-Task Optimization Foundations and Methodologies |
| title_exact_search | Evolutionary Multi-Task Optimization Foundations and Methodologies |
| title_exact_search_txtP | Evolutionary Multi-Task Optimization Foundations and Methodologies |
| title_full | Evolutionary Multi-Task Optimization Foundations and Methodologies by Liang Feng, Abhishek Gupta, Kay Chen Tan, Yew Soon Ong |
| title_fullStr | Evolutionary Multi-Task Optimization Foundations and Methodologies by Liang Feng, Abhishek Gupta, Kay Chen Tan, Yew Soon Ong |
| title_full_unstemmed | Evolutionary Multi-Task Optimization Foundations and Methodologies by Liang Feng, Abhishek Gupta, Kay Chen Tan, Yew Soon Ong |
| title_short | Evolutionary Multi-Task Optimization |
| title_sort | evolutionary multi task optimization foundations and methodologies |
| title_sub | Foundations and Methodologies |
| topic | Artificial Intelligence Machine Learning Optimization Computational Intelligence Artificial intelligence Machine learning Mathematical optimization Computational intelligence |
| topic_facet | Artificial Intelligence Machine Learning Optimization Computational Intelligence Artificial intelligence Machine learning Mathematical optimization Computational intelligence |
| url | https://doi.org/10.1007/978-981-19-5650-8 |
| work_keys_str_mv | AT fengliang evolutionarymultitaskoptimizationfoundationsandmethodologies AT guptaabhishek evolutionarymultitaskoptimizationfoundationsandmethodologies AT tankaychen evolutionarymultitaskoptimizationfoundationsandmethodologies AT ongyewsoon evolutionarymultitaskoptimizationfoundationsandmethodologies |