Evolutionary optimization algorithms : biologically-Inspired and population-based approaches to computer intelligence /

Evolutionary optimization algorithms : biologically-Inspired and population-based approaches to computer intelligence / / Dan Simon.

Saved in:
Bibliographic Details
:
ProQuest (Firm)
Simon, Dan, 1960-
TeilnehmendeR:
ProQuest (Firm)
Year of Publication:2013
Language:English
Online Access:
Physical Description:xxx, 742 p. :; ill.
Tags: Add Tag
No Tags, Be the first to tag this record!
id 5001216196
ctrlnum (MiAaPQ)5001216196
(Au-PeEL)EBL1216196
(CaPaEBR)ebr10722521
(CaONFJC)MIL499128
(OCoLC)859885568
collection bib_alma
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01425nam a2200373Ia 4500</leader><controlfield tag="001">5001216196</controlfield><controlfield tag="003">MiAaPQ</controlfield><controlfield tag="005">20200520144314.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cn|||||||||</controlfield><controlfield tag="008">130326s2013 njua sb 001 0 eng d</controlfield><datafield tag="010" ind1=" " ind2=" "><subfield code="z"> 2013000458</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9780470937419 (hardback)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781118659502</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)5001216196</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL1216196</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaPaEBR)ebr10722521</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaONFJC)MIL499128</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)859885568</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.9.A43</subfield><subfield code="b">S536 2013</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">006.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Simon, Dan,</subfield><subfield code="d">1960-</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Evolutionary optimization algorithms</subfield><subfield code="h">[electronic resource] :</subfield><subfield code="b">biologically-Inspired and population-based approaches to computer intelligence /</subfield><subfield code="c">Dan Simon.</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Hoboken, NJ :</subfield><subfield code="b">John Wiley &amp; Sons Inc.,</subfield><subfield code="c">2013.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xxx, 742 p. :</subfield><subfield code="b">ill.</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references (p. 685-726) and index.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="a">Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Evolutionary computation.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer algorithms.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Biologically-inspired computing.</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">ProQuest (Firm)</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1216196</subfield><subfield code="z">Click to View</subfield></datafield></record></collection>
record_format marc
spelling Simon, Dan, 1960-
Evolutionary optimization algorithms [electronic resource] : biologically-Inspired and population-based approaches to computer intelligence / Dan Simon.
Hoboken, NJ : John Wiley & Sons Inc., 2013.
xxx, 742 p. : ill.
Includes bibliographical references (p. 685-726) and index.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Evolutionary computation.
Computer algorithms.
Biologically-inspired computing.
Electronic books.
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1216196 Click to View
language English
format Electronic
eBook
author Simon, Dan, 1960-
spellingShingle Simon, Dan, 1960-
Evolutionary optimization algorithms biologically-Inspired and population-based approaches to computer intelligence /
author_facet Simon, Dan, 1960-
ProQuest (Firm)
ProQuest (Firm)
author_variant d s ds
author2 ProQuest (Firm)
author2_role TeilnehmendeR
author_corporate ProQuest (Firm)
author_sort Simon, Dan, 1960-
title Evolutionary optimization algorithms biologically-Inspired and population-based approaches to computer intelligence /
title_sub biologically-Inspired and population-based approaches to computer intelligence /
title_full Evolutionary optimization algorithms [electronic resource] : biologically-Inspired and population-based approaches to computer intelligence / Dan Simon.
title_fullStr Evolutionary optimization algorithms [electronic resource] : biologically-Inspired and population-based approaches to computer intelligence / Dan Simon.
title_full_unstemmed Evolutionary optimization algorithms [electronic resource] : biologically-Inspired and population-based approaches to computer intelligence / Dan Simon.
title_auth Evolutionary optimization algorithms biologically-Inspired and population-based approaches to computer intelligence /
title_new Evolutionary optimization algorithms
title_sort evolutionary optimization algorithms biologically-inspired and population-based approaches to computer intelligence /
publisher John Wiley & Sons Inc.,
publishDate 2013
physical xxx, 742 p. : ill.
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA76
callnumber-sort QA 276.9 A43 S536 42013
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1216196
illustrated Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 006 - Special computer methods
dewey-full 006.3
dewey-sort 16.3
dewey-raw 006.3
dewey-search 006.3
oclc_num 859885568
work_keys_str_mv AT simondan evolutionaryoptimizationalgorithmsbiologicallyinspiredandpopulationbasedapproachestocomputerintelligence
AT proquestfirm evolutionaryoptimizationalgorithmsbiologicallyinspiredandpopulationbasedapproachestocomputerintelligence
status_str n
ids_txt_mv (MiAaPQ)5001216196
(Au-PeEL)EBL1216196
(CaPaEBR)ebr10722521
(CaONFJC)MIL499128
(OCoLC)859885568
is_hierarchy_title Evolutionary optimization algorithms biologically-Inspired and population-based approaches to computer intelligence /
author2_original_writing_str_mv noLinkedField
_version_ 1792330752534249473

Similar Items