Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applications in Science and Engineering
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer International Publishing
2020
Cham Springer |
Ausgabe: | 1st ed. 2020 |
Schriftenreihe: | Modeling and Optimization in Science and Technologies
16 |
Schlagworte: | |
Online-Zugang: | BTU01 FAB01 FAW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBY01 Volltext |
Beschreibung: | 1 Online-Ressource (XIII, 502 p. 252 illus., 110 illus. in color) |
ISBN: | 9783030264581 |
ISSN: | 2196-7326 |
DOI: | 10.1007/978-3-030-26458-1 |
Internformat
MARC
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Datensatz im Suchindex
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any_adam_object | |
author2 | Bennis, Fouad Bhattacharjya, Rajib Kumar |
author2_role | edt edt |
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author_facet | Bennis, Fouad Bhattacharjya, Rajib Kumar |
building | Verbundindex |
bvnumber | BV046403850 |
classification_tum | ELT 000 MAS 000 |
collection | ZDB-2-ENG |
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dewey-full | 519.6 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.6 |
dewey-search | 519.6 |
dewey-sort | 3519.6 |
dewey-tens | 510 - Mathematics |
discipline | Elektrotechnik Mathematik Maschinenbau |
doi_str_mv | 10.1007/978-3-030-26458-1 |
edition | 1st ed. 2020 |
format | Electronic eBook |
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id | DE-604.BV046403850 |
illustrated | Not Illustrated |
indexdate | 2024-08-01T15:08:17Z |
institution | BVB |
isbn | 9783030264581 |
issn | 2196-7326 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031816571 |
oclc_num | 1140126712 |
open_access_boolean | |
owner | DE-860 DE-91 DE-BY-TUM DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-863 DE-BY-FWS DE-1050 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-706 DE-634 |
owner_facet | DE-860 DE-91 DE-BY-TUM DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-863 DE-BY-FWS DE-1050 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-706 DE-634 |
physical | 1 Online-Ressource (XIII, 502 p. 252 illus., 110 illus. in color) |
psigel | ZDB-2-ENG ZDB-2-ENG_2020_Fremddaten |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | Springer International Publishing Springer |
record_format | marc |
series2 | Modeling and Optimization in Science and Technologies |
spellingShingle | Nature-Inspired Methods for Metaheuristics Optimization Algorithms and Applications in Science and Engineering Operations Research, Management Science Computational Intelligence Hydrology/Water Resources Theoretical and Applied Mechanics Engineering Thermodynamics, Heat and Mass Transfer Industrial and Production Engineering Operations research Management science Computational intelligence Hydrology Mechanics Mechanics, Applied Thermodynamics Heat engineering Heat transfer Mass transfer Industrial engineering Production engineering |
title | Nature-Inspired Methods for Metaheuristics Optimization Algorithms and Applications in Science and Engineering |
title_auth | Nature-Inspired Methods for Metaheuristics Optimization Algorithms and Applications in Science and Engineering |
title_exact_search | Nature-Inspired Methods for Metaheuristics Optimization Algorithms and Applications in Science and Engineering |
title_full | Nature-Inspired Methods for Metaheuristics Optimization Algorithms and Applications in Science and Engineering edited by Fouad Bennis, Rajib Kumar Bhattacharjya |
title_fullStr | Nature-Inspired Methods for Metaheuristics Optimization Algorithms and Applications in Science and Engineering edited by Fouad Bennis, Rajib Kumar Bhattacharjya |
title_full_unstemmed | Nature-Inspired Methods for Metaheuristics Optimization Algorithms and Applications in Science and Engineering edited by Fouad Bennis, Rajib Kumar Bhattacharjya |
title_short | Nature-Inspired Methods for Metaheuristics Optimization |
title_sort | nature inspired methods for metaheuristics optimization algorithms and applications in science and engineering |
title_sub | Algorithms and Applications in Science and Engineering |
topic | Operations Research, Management Science Computational Intelligence Hydrology/Water Resources Theoretical and Applied Mechanics Engineering Thermodynamics, Heat and Mass Transfer Industrial and Production Engineering Operations research Management science Computational intelligence Hydrology Mechanics Mechanics, Applied Thermodynamics Heat engineering Heat transfer Mass transfer Industrial engineering Production engineering |
topic_facet | Operations Research, Management Science Computational Intelligence Hydrology/Water Resources Theoretical and Applied Mechanics Engineering Thermodynamics, Heat and Mass Transfer Industrial and Production Engineering Operations research Management science Computational intelligence Hydrology Mechanics Mechanics, Applied Thermodynamics Heat engineering Heat transfer Mass transfer Industrial engineering Production engineering |
url | https://doi.org/10.1007/978-3-030-26458-1 |
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