Nature-inspired methods for stochastic, robust and dynamic optimization / / Javier Del Ser, Eneko Osaba, editors.
Nature-inspired algorithms have a great popularity in the current scientific community, being the focused scope of many research contributions in the literature year by year. The rationale behind the acquired momentum by this broad family of methods lies on their outstanding performance evinced in h...
Saved in:
| TeilnehmendeR: | |
|---|---|
| Place / Publishing House: | [Place of publication not identified] : : IntechOpen,, [2018] ©2018 |
| Year of Publication: | 2018 |
| Language: | English |
| Physical Description: | 1 online resource (70 pages) :; illustrations |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
993545758204498 |
|---|---|
| ctrlnum |
(CKB)4970000000100043 (NjHacI)994970000000100043 (oapen)https://directory.doabooks.org/handle/20.500.12854/66931 (EXLCZ)994970000000100043 |
| collection |
bib_alma |
| record_format |
marc |
| spelling |
Del Ser, Javier edt Nature-inspired methods for stochastic, robust and dynamic optimization / Javier Del Ser, Eneko Osaba, editors. IntechOpen 2018 [Place of publication not identified] : IntechOpen, [2018] ©2018 1 online resource (70 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on: online resource; title from PDF information screen (InTech, viewed October 21, 2022). Includes bibliographical references. Nature-inspired algorithms have a great popularity in the current scientific community, being the focused scope of many research contributions in the literature year by year. The rationale behind the acquired momentum by this broad family of methods lies on their outstanding performance evinced in hundreds of research fields and problem instances. This book gravitates on the development of nature-inspired methods and their application to stochastic, dynamic and robust optimization. Topics covered by this book include the design and development of evolutionary algorithms, bio-inspired metaheuristics, or memetic methods, with empirical, innovative findings when used in different subfields of mathematical optimization, such as stochastic, dynamic, multimodal and robust optimization, as well as noisy optimization and dynamic and constraint satisfaction problems. English Algorithms. Logic design. Optimization 1-78923-328-3 Del Ser, Javier, editor. Osaba, Eneko, editor. |
| language |
English |
| format |
eBook |
| author2 |
Del Ser, Javier, Osaba, Eneko, |
| author_facet |
Del Ser, Javier, Osaba, Eneko, |
| author2_variant |
s j d sj sjd s j d sj sjd e o eo |
| author2_role |
TeilnehmendeR TeilnehmendeR |
| title |
Nature-inspired methods for stochastic, robust and dynamic optimization / |
| spellingShingle |
Nature-inspired methods for stochastic, robust and dynamic optimization / |
| title_full |
Nature-inspired methods for stochastic, robust and dynamic optimization / Javier Del Ser, Eneko Osaba, editors. |
| title_fullStr |
Nature-inspired methods for stochastic, robust and dynamic optimization / Javier Del Ser, Eneko Osaba, editors. |
| title_full_unstemmed |
Nature-inspired methods for stochastic, robust and dynamic optimization / Javier Del Ser, Eneko Osaba, editors. |
| title_auth |
Nature-inspired methods for stochastic, robust and dynamic optimization / |
| title_new |
Nature-inspired methods for stochastic, robust and dynamic optimization / |
| title_sort |
nature-inspired methods for stochastic, robust and dynamic optimization / |
| publisher |
IntechOpen IntechOpen, |
| publishDate |
2018 |
| physical |
1 online resource (70 pages) : illustrations |
| isbn |
1-83881-572-4 1-78923-329-1 1-78923-328-3 |
| callnumber-first |
Q - Science |
| callnumber-subject |
QA - Mathematics |
| callnumber-label |
QA9 |
| callnumber-sort |
QA 19.58 N388 42018 |
| illustrated |
Illustrated |
| dewey-hundreds |
500 - Science |
| dewey-tens |
510 - Mathematics |
| dewey-ones |
518 - Numerical analysis |
| dewey-full |
518.1 |
| dewey-sort |
3518.1 |
| dewey-raw |
518.1 |
| dewey-search |
518.1 |
| work_keys_str_mv |
AT delserjavier natureinspiredmethodsforstochasticrobustanddynamicoptimization AT osabaeneko natureinspiredmethodsforstochasticrobustanddynamicoptimization |
| status_str |
n |
| ids_txt_mv |
(CKB)4970000000100043 (NjHacI)994970000000100043 (oapen)https://directory.doabooks.org/handle/20.500.12854/66931 (EXLCZ)994970000000100043 |
| carrierType_str_mv |
cr |
| is_hierarchy_title |
Nature-inspired methods for stochastic, robust and dynamic optimization / |
| author2_original_writing_str_mv |
noLinkedField noLinkedField |
| _version_ |
1787548496126017536 |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01177nam a2200337 i 4500</leader><controlfield tag="001">993545758204498</controlfield><controlfield tag="005">20221022043553.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr |||||||||||</controlfield><controlfield tag="008">221022s2018 xx a ob 000 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1-83881-572-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1-78923-329-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)4970000000100043</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(NjHacI)994970000000100043</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/66931</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)994970000000100043</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">NjHacI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">NjHacl</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA9.58</subfield><subfield code="b">.N388 2018</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">518.1</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Del Ser, Javier</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Nature-inspired methods for stochastic, robust and dynamic optimization /</subfield><subfield code="c">Javier Del Ser, Eneko Osaba, editors.</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">IntechOpen</subfield><subfield code="c">2018</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Place of publication not identified] :</subfield><subfield code="b">IntechOpen,</subfield><subfield code="c">[2018]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (70 pages) :</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on: online resource; title from PDF information screen (InTech, viewed October 21, 2022).</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Nature-inspired algorithms have a great popularity in the current scientific community, being the focused scope of many research contributions in the literature year by year. The rationale behind the acquired momentum by this broad family of methods lies on their outstanding performance evinced in hundreds of research fields and problem instances. This book gravitates on the development of nature-inspired methods and their application to stochastic, dynamic and robust optimization. Topics covered by this book include the design and development of evolutionary algorithms, bio-inspired metaheuristics, or memetic methods, with empirical, innovative findings when used in different subfields of mathematical optimization, such as stochastic, dynamic, multimodal and robust optimization, as well as noisy optimization and dynamic and constraint satisfaction problems.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Algorithms.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Logic design.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Optimization</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">1-78923-328-3</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Del Ser, Javier,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Osaba, Eneko,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-02-22 19:55:11 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2019-04-13 22:04:18 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338029990004498&Force_direct=true</subfield><subfield code="Z">5338029990004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338029990004498</subfield></datafield></record></collection> |