Genetic algorithms in applications / / edited by Rustem Popa.
Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social scien...
Saved in:
TeilnehmendeR: | |
---|---|
Place / Publishing House: | Rijeka, Croatia : : InTech,, [2012] ©2012 |
Year of Publication: | 2012 |
Language: | English |
Physical Description: | 1 online resource (330 pages) :; illustrations |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993547888404498 |
---|---|
ctrlnum |
(CKB)3230000000076144 (NjHacI)993230000000076144 (oapen)https://directory.doabooks.org/handle/20.500.12854/65844 (EXLCZ)993230000000076144 |
collection |
bib_alma |
record_format |
marc |
spelling |
Popa, Rustem edt Genetic algorithms in applications / edited by Rustem Popa. IntechOpen 2012 Rijeka, Croatia : InTech, [2012] ©2012 1 online resource (330 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 20, 2022). Includes bibliographical references. Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms. English Genetic algorithms. Artificial intelligence 953-51-0400-4 Popa, Rustem , editor. |
language |
English |
format |
eBook |
author2 |
Popa, Rustem , |
author_facet |
Popa, Rustem , |
author2_variant |
r p rp r p rp |
author2_role |
TeilnehmendeR |
title |
Genetic algorithms in applications / |
spellingShingle |
Genetic algorithms in applications / |
title_full |
Genetic algorithms in applications / edited by Rustem Popa. |
title_fullStr |
Genetic algorithms in applications / edited by Rustem Popa. |
title_full_unstemmed |
Genetic algorithms in applications / edited by Rustem Popa. |
title_auth |
Genetic algorithms in applications / |
title_new |
Genetic algorithms in applications / |
title_sort |
genetic algorithms in applications / |
publisher |
IntechOpen InTech, |
publishDate |
2012 |
physical |
1 online resource (330 pages) : illustrations |
isbn |
953-51-5690-X 953-51-0400-4 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA402 |
callnumber-sort |
QA 3402.5 G464 42012 |
illustrated |
Illustrated |
dewey-hundreds |
500 - Science |
dewey-tens |
510 - Mathematics |
dewey-ones |
519 - Probabilities & applied mathematics |
dewey-full |
519.7 |
dewey-sort |
3519.7 |
dewey-raw |
519.7 |
dewey-search |
519.7 |
work_keys_str_mv |
AT poparustem geneticalgorithmsinapplications |
status_str |
n |
ids_txt_mv |
(CKB)3230000000076144 (NjHacI)993230000000076144 (oapen)https://directory.doabooks.org/handle/20.500.12854/65844 (EXLCZ)993230000000076144 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Genetic algorithms in applications / |
author2_original_writing_str_mv |
noLinkedField |
_version_ |
1787551683934420992 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01008nam a2200301 i 4500</leader><controlfield tag="001">993547888404498</controlfield><controlfield tag="005">20221020111036.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr |||||||||||</controlfield><controlfield tag="008">221020s2012 ci a ob 000 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">953-51-5690-X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)3230000000076144</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(NjHacI)993230000000076144</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/65844</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)993230000000076144</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">QA402.5</subfield><subfield code="b">.G464 2012</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">519.7</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Popa, Rustem</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Genetic algorithms in applications /</subfield><subfield code="c">edited by Rustem Popa.</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">IntechOpen</subfield><subfield code="c">2012</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Rijeka, Croatia :</subfield><subfield code="b">InTech,</subfield><subfield code="c">[2012]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2012</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (330 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 20, 2022).</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Genetic algorithms.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">953-51-0400-4</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Popa, Rustem ,</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 20:57:29 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2012-12-09 08:17:33 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=5338639140004498&Force_direct=true</subfield><subfield code="Z">5338639140004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338639140004498</subfield></datafield></record></collection> |