Genetic programming : : new approaches and successful applications / / edited by Sebastian Ventura.
Genetic programming (GP) is a branch of Evolutionary Computing that aims the automatic discovery of programs to solve a given problem. Since its appearance, in the earliest nineties, GP has become one of the most promising paradigms for solving problems in the artificial intelligence field, producin...
Saved in:
TeilnehmendeR: | |
---|---|
Place / Publishing House: | Rijeka, Croatia : : InTech,, [2012] ©2012 |
Year of Publication: | 2012 |
Language: | English |
Physical Description: | 1 online resource (300 pages) :; illustrations |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993547624704498 |
---|---|
ctrlnum |
(CKB)3230000000076148 (NjHacI)993230000000076148 (oapen)https://directory.doabooks.org/handle/20.500.12854/66258 (EXLCZ)993230000000076148 |
collection |
bib_alma |
record_format |
marc |
spelling |
Ventura, Sebastian edt Genetic programming : new approaches and successful applications / edited by Sebastian Ventura. Genetic programming IntechOpen 2012 Rijeka, Croatia : InTech, [2012] ©2012 1 online resource (300 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 programming (GP) is a branch of Evolutionary Computing that aims the automatic discovery of programs to solve a given problem. Since its appearance, in the earliest nineties, GP has become one of the most promising paradigms for solving problems in the artificial intelligence field, producing a number of human-competitive results and even patentable new inventions. And, as other areas in Computer Science, GP continues evolving quickly, with new ideas, techniques and applications being constantly proposed. The purpose of this book is to show recent advances in the field of GP, both the development of new theoretical approaches and the emergence of applications that have successfully solved different real world problems. The volume is primarily aimed at postgraduates, researchers and academics, although it is hoped that it may be useful to undergraduates who wish to learn about the leading techniques in GP. English Genetic programming (Computer science) Artificial intelligence 953-51-0809-3 Ventura, Sebastian , editor. |
language |
English |
format |
eBook |
author2 |
Ventura, Sebastian , |
author_facet |
Ventura, Sebastian , |
author2_variant |
s v sv s v sv |
author2_role |
TeilnehmendeR |
title |
Genetic programming : new approaches and successful applications / |
spellingShingle |
Genetic programming : new approaches and successful applications / |
title_sub |
new approaches and successful applications / |
title_full |
Genetic programming : new approaches and successful applications / edited by Sebastian Ventura. |
title_fullStr |
Genetic programming : new approaches and successful applications / edited by Sebastian Ventura. |
title_full_unstemmed |
Genetic programming : new approaches and successful applications / edited by Sebastian Ventura. |
title_auth |
Genetic programming : new approaches and successful applications / |
title_alt |
Genetic programming |
title_new |
Genetic programming : |
title_sort |
genetic programming : new approaches and successful applications / |
publisher |
IntechOpen InTech, |
publishDate |
2012 |
physical |
1 online resource (300 pages) : illustrations |
isbn |
953-51-5699-3 953-51-0809-3 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA76 |
callnumber-sort |
QA 276.623 G464 42012 |
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 |
006.31 |
dewey-sort |
16.31 |
dewey-raw |
006.31 |
dewey-search |
006.31 |
work_keys_str_mv |
AT venturasebastian geneticprogrammingnewapproachesandsuccessfulapplications AT venturasebastian geneticprogramming |
status_str |
n |
ids_txt_mv |
(CKB)3230000000076148 (NjHacI)993230000000076148 (oapen)https://directory.doabooks.org/handle/20.500.12854/66258 (EXLCZ)993230000000076148 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Genetic programming : new approaches and successful applications / |
author2_original_writing_str_mv |
noLinkedField |
_version_ |
1796649023812141058 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01072nam a2200301 i 4500</leader><controlfield tag="001">993547624704498</controlfield><controlfield tag="005">20221020113635.0</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">953-51-5699-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)3230000000076148</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(NjHacI)993230000000076148</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/66258</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)993230000000076148</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">QA76.623</subfield><subfield code="b">.G464 2012</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">006.31</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ventura, Sebastian</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Genetic programming :</subfield><subfield code="b">new approaches and successful applications /</subfield><subfield code="c">edited by Sebastian Ventura.</subfield></datafield><datafield tag="246" ind1=" " ind2=" "><subfield code="a">Genetic programming </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 (300 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 programming (GP) is a branch of Evolutionary Computing that aims the automatic discovery of programs to solve a given problem. Since its appearance, in the earliest nineties, GP has become one of the most promising paradigms for solving problems in the artificial intelligence field, producing a number of human-competitive results and even patentable new inventions. And, as other areas in Computer Science, GP continues evolving quickly, with new ideas, techniques and applications being constantly proposed. The purpose of this book is to show recent advances in the field of GP, both the development of new theoretical approaches and the emergence of applications that have successfully solved different real world problems. The volume is primarily aimed at postgraduates, researchers and academics, although it is hoped that it may be useful to undergraduates who wish to learn about the leading techniques in GP.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Genetic programming (Computer science)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">953-51-0809-3</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ventura, Sebastian ,</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 21:12:23 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=5338620030004498&Force_direct=true</subfield><subfield code="Z">5338620030004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338620030004498</subfield></datafield></record></collection> |