New developments in evolutionary computation research:
Gespeichert in:
Format: | Elektronisch E-Book |
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Sprache: | English |
Veröffentlicht: |
Hauppauge, New York
Nova Science Publisher's Inc.
[2014]
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Schriftenreihe: | Computer science, technology and applications
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Schlagworte: | |
Beschreibung: | Includes index Print version record |
Beschreibung: | 1 online resource |
ISBN: | 9781634635257 1634635256 |
Internformat
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Datensatz im Suchindex
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bvnumber | BV045345593 |
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contents | A common approach for solving simulation-driven engineering problems is by using metamodel-assisted optimization algorithms, namely, in which a metamodel approximates the computationally expensive simulation and provides predicted values at a lower computational cost. Such algorithms typically generate an initial sample of solutions which are then used to train a preliminary metamodel and to initiate an optimization process. One approach for generating the initial sample is with the design of experiment methods which are statistically oriented, while the more recent search-driven sampling appr |
ctrlnum | (ZDB-4-ENC)ocn902846711 (OCoLC)902846711 (DE-599)BVBBV045345593 |
dewey-full | 006.3/823 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3/823 |
dewey-search | 006.3/823 |
dewey-sort | 16.3 3823 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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id | DE-604.BV045345593 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:15:33Z |
institution | BVB |
isbn | 9781634635257 1634635256 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030732296 |
oclc_num | 902846711 |
open_access_boolean | |
physical | 1 online resource |
psigel | ZDB-4-ENC |
publishDate | 2014 |
publishDateSearch | 2014 |
publishDateSort | 2014 |
publisher | Nova Science Publisher's Inc. |
record_format | marc |
series2 | Computer science, technology and applications |
spelling | New developments in evolutionary computation research editor, Sean Washington Hauppauge, New York Nova Science Publisher's Inc. [2014] 1 online resource txt rdacontent c rdamedia cr rdacarrier Computer science, technology and applications Includes index Print version record A common approach for solving simulation-driven engineering problems is by using metamodel-assisted optimization algorithms, namely, in which a metamodel approximates the computationally expensive simulation and provides predicted values at a lower computational cost. Such algorithms typically generate an initial sample of solutions which are then used to train a preliminary metamodel and to initiate an optimization process. One approach for generating the initial sample is with the design of experiment methods which are statistically oriented, while the more recent search-driven sampling appr COMPUTERS / General bisacsh Engineering mathematics fast Evolutionary computation fast Evolutionary computation Engineering mathematics Evolutionäre Programmierung (DE-588)4366915-3 gnd rswk-swf Evolutionäre Programmierung (DE-588)4366915-3 s 1\p DE-604 Washington, Sean Sonstige oth Erscheint auch als Druck-Ausgabe New developments in evolutionary computation research 9781634634939 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | New developments in evolutionary computation research A common approach for solving simulation-driven engineering problems is by using metamodel-assisted optimization algorithms, namely, in which a metamodel approximates the computationally expensive simulation and provides predicted values at a lower computational cost. Such algorithms typically generate an initial sample of solutions which are then used to train a preliminary metamodel and to initiate an optimization process. One approach for generating the initial sample is with the design of experiment methods which are statistically oriented, while the more recent search-driven sampling appr COMPUTERS / General bisacsh Engineering mathematics fast Evolutionary computation fast Evolutionary computation Engineering mathematics Evolutionäre Programmierung (DE-588)4366915-3 gnd |
subject_GND | (DE-588)4366915-3 |
title | New developments in evolutionary computation research |
title_auth | New developments in evolutionary computation research |
title_exact_search | New developments in evolutionary computation research |
title_full | New developments in evolutionary computation research editor, Sean Washington |
title_fullStr | New developments in evolutionary computation research editor, Sean Washington |
title_full_unstemmed | New developments in evolutionary computation research editor, Sean Washington |
title_short | New developments in evolutionary computation research |
title_sort | new developments in evolutionary computation research |
topic | COMPUTERS / General bisacsh Engineering mathematics fast Evolutionary computation fast Evolutionary computation Engineering mathematics Evolutionäre Programmierung (DE-588)4366915-3 gnd |
topic_facet | COMPUTERS / General Engineering mathematics Evolutionary computation Evolutionary computation Engineering mathematics Evolutionäre Programmierung |
work_keys_str_mv | AT washingtonsean newdevelopmentsinevolutionarycomputationresearch |