Bio-inspired algorithms for engineering:
"Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to solve real-lif...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oxford, United Kingdom
Butterworth-Heinemann, an imprint of Elsevier
[2018]
|
| Ausgabe: | First edition |
| Schlagworte: | |
| Online-Zugang: | FLA01 Volltext Volltext |
| Zusammenfassung: | "Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to solve real-life, complex problems, combining well-known bio-inspired algorithms with new concepts, including both rigorous analyses and unique applications. It covers both theoretical and practical methodologies, allowing readers to learn more about the implementation of bio-inspired algorithms. This book is a useful resource for both academic and industrial engineers working on artificial intelligence, robotics, machine learning, vision, classification, pattern recognition, identification and control. Presents real-time implementation and simulation results for all the proposed schemes. Offers a comparative analysis and rigorous analysis of the convergence of proposed algorithms. Provides a guide for implementing each application at the end of each chapterIncludes illustrations, tables and figures that facilitate the reader's comprehension of the proposed schemes and applications"-- |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 online resource |
| ISBN: | 9780128137895 0128137894 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV046127060 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 190827s2018 |||| o||u| ||||||eng d | ||
| 020 | |a 9780128137895 |9 978-0-12-813789-5 | ||
| 020 | |a 0128137894 |9 0-12-813789-4 | ||
| 035 | |a (ZDB-33-ESD)on1021172444 | ||
| 035 | |a (OCoLC)1021172444 | ||
| 035 | |a (DE-599)BVBBV046127060 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 082 | 0 | |a 005.1 |2 23 | |
| 084 | |a ST 301 |0 (DE-625)143651: |2 rvk | ||
| 100 | 1 | |a Alanis, Alma Y. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Bio-inspired algorithms for engineering |c Alma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco |
| 250 | |a First edition | ||
| 264 | 1 | |a Oxford, United Kingdom |b Butterworth-Heinemann, an imprint of Elsevier |c [2018] | |
| 264 | 4 | |c © 2018 | |
| 300 | |a 1 online resource | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 520 | |a "Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to solve real-life, complex problems, combining well-known bio-inspired algorithms with new concepts, including both rigorous analyses and unique applications. It covers both theoretical and practical methodologies, allowing readers to learn more about the implementation of bio-inspired algorithms. This book is a useful resource for both academic and industrial engineers working on artificial intelligence, robotics, machine learning, vision, classification, pattern recognition, identification and control. Presents real-time implementation and simulation results for all the proposed schemes. Offers a comparative analysis and rigorous analysis of the convergence of proposed algorithms. Provides a guide for implementing each application at the end of each chapterIncludes illustrations, tables and figures that facilitate the reader's comprehension of the proposed schemes and applications"-- | ||
| 650 | 7 | |a COMPUTERS / Programming / Algorithms |2 bisacsh | |
| 650 | 7 | |a Computer algorithms |2 fast | |
| 650 | 4 | |a Computer algorithms | |
| 650 | 4 | |a Natural computation |x Industrial applications | |
| 650 | 4 | |a Evolutionary computation |x Industrial applications | |
| 650 | 4 | |a Natural computation |x Scientific applications | |
| 650 | 4 | |a Evolutionary computation |x Scientific applications | |
| 650 | 0 | 7 | |a Ingenieurwissenschaften |0 (DE-588)4137304-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Evolutionärer Algorithmus |0 (DE-588)4366912-8 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Evolutionärer Algorithmus |0 (DE-588)4366912-8 |D s |
| 689 | 0 | 1 | |a Ingenieurwissenschaften |0 (DE-588)4137304-2 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a Arana-Daniel, Nancy |4 aut | |
| 700 | 1 | |a Lopez-Franco, Carlos |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 0128137886 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9780128137888 |
| 856 | 4 | 0 | |u https://www.sciencedirect.com/science/book/9780128137888 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 856 | 4 | 0 | |u http://www.sciencedirect.com/science/book/9780128137888 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-33-ESD | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-031507514 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u https://www.sciencedirect.com/science/book/9780128137888 |l FLA01 |p ZDB-33-ESD |q FLA_PDA_ESD |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804180447815532544 |
|---|---|
| any_adam_object | |
| author | Alanis, Alma Y. Arana-Daniel, Nancy Lopez-Franco, Carlos |
| author_facet | Alanis, Alma Y. Arana-Daniel, Nancy Lopez-Franco, Carlos |
| author_role | aut aut aut |
| author_sort | Alanis, Alma Y. |
| author_variant | a y a ay aya n a d nad c l f clf |
| building | Verbundindex |
| bvnumber | BV046127060 |
| classification_rvk | ST 301 |
| collection | ZDB-33-ESD |
| ctrlnum | (ZDB-33-ESD)on1021172444 (OCoLC)1021172444 (DE-599)BVBBV046127060 |
| dewey-full | 005.1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.1 |
| dewey-search | 005.1 |
| dewey-sort | 15.1 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | First edition |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03640nmm a2200589zc 4500</leader><controlfield tag="001">BV046127060</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">190827s2018 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780128137895</subfield><subfield code="9">978-0-12-813789-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0128137894</subfield><subfield code="9">0-12-813789-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-33-ESD)on1021172444</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1021172444</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046127060</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.1</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 301</subfield><subfield code="0">(DE-625)143651:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Alanis, Alma Y.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Bio-inspired algorithms for engineering</subfield><subfield code="c">Alma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Oxford, United Kingdom</subfield><subfield code="b">Butterworth-Heinemann, an imprint of Elsevier</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</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to solve real-life, complex problems, combining well-known bio-inspired algorithms with new concepts, including both rigorous analyses and unique applications. It covers both theoretical and practical methodologies, allowing readers to learn more about the implementation of bio-inspired algorithms. This book is a useful resource for both academic and industrial engineers working on artificial intelligence, robotics, machine learning, vision, classification, pattern recognition, identification and control. Presents real-time implementation and simulation results for all the proposed schemes. Offers a comparative analysis and rigorous analysis of the convergence of proposed algorithms. Provides a guide for implementing each application at the end of each chapterIncludes illustrations, tables and figures that facilitate the reader's comprehension of the proposed schemes and applications"--</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Programming / Algorithms</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Computer algorithms</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Natural computation</subfield><subfield code="x">Industrial applications</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Evolutionary computation</subfield><subfield code="x">Industrial applications</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Natural computation</subfield><subfield code="x">Scientific applications</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Evolutionary computation</subfield><subfield code="x">Scientific applications</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Ingenieurwissenschaften</subfield><subfield code="0">(DE-588)4137304-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Evolutionärer Algorithmus</subfield><subfield code="0">(DE-588)4366912-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Evolutionärer Algorithmus</subfield><subfield code="0">(DE-588)4366912-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Ingenieurwissenschaften</subfield><subfield code="0">(DE-588)4137304-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Arana-Daniel, Nancy</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lopez-Franco, Carlos</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">0128137886</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9780128137888</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.sciencedirect.com/science/book/9780128137888</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/book/9780128137888</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-33-ESD</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031507514</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://www.sciencedirect.com/science/book/9780128137888</subfield><subfield code="l">FLA01</subfield><subfield code="p">ZDB-33-ESD</subfield><subfield code="q">FLA_PDA_ESD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV046127060 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:35:55Z |
| institution | BVB |
| isbn | 9780128137895 0128137894 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031507514 |
| oclc_num | 1021172444 |
| open_access_boolean | |
| physical | 1 online resource |
| psigel | ZDB-33-ESD ZDB-33-ESD FLA_PDA_ESD |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Butterworth-Heinemann, an imprint of Elsevier |
| record_format | marc |
| spelling | Alanis, Alma Y. Verfasser aut Bio-inspired algorithms for engineering Alma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco First edition Oxford, United Kingdom Butterworth-Heinemann, an imprint of Elsevier [2018] © 2018 1 online resource txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index "Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to solve real-life, complex problems, combining well-known bio-inspired algorithms with new concepts, including both rigorous analyses and unique applications. It covers both theoretical and practical methodologies, allowing readers to learn more about the implementation of bio-inspired algorithms. This book is a useful resource for both academic and industrial engineers working on artificial intelligence, robotics, machine learning, vision, classification, pattern recognition, identification and control. Presents real-time implementation and simulation results for all the proposed schemes. Offers a comparative analysis and rigorous analysis of the convergence of proposed algorithms. Provides a guide for implementing each application at the end of each chapterIncludes illustrations, tables and figures that facilitate the reader's comprehension of the proposed schemes and applications"-- COMPUTERS / Programming / Algorithms bisacsh Computer algorithms fast Computer algorithms Natural computation Industrial applications Evolutionary computation Industrial applications Natural computation Scientific applications Evolutionary computation Scientific applications Ingenieurwissenschaften (DE-588)4137304-2 gnd rswk-swf Evolutionärer Algorithmus (DE-588)4366912-8 gnd rswk-swf Evolutionärer Algorithmus (DE-588)4366912-8 s Ingenieurwissenschaften (DE-588)4137304-2 s 1\p DE-604 Arana-Daniel, Nancy aut Lopez-Franco, Carlos aut Erscheint auch als Druck-Ausgabe 0128137886 Erscheint auch als Druck-Ausgabe 9780128137888 https://www.sciencedirect.com/science/book/9780128137888 Verlag URL des Erstveröffentlichers Volltext http://www.sciencedirect.com/science/book/9780128137888 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Alanis, Alma Y. Arana-Daniel, Nancy Lopez-Franco, Carlos Bio-inspired algorithms for engineering COMPUTERS / Programming / Algorithms bisacsh Computer algorithms fast Computer algorithms Natural computation Industrial applications Evolutionary computation Industrial applications Natural computation Scientific applications Evolutionary computation Scientific applications Ingenieurwissenschaften (DE-588)4137304-2 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd |
| subject_GND | (DE-588)4137304-2 (DE-588)4366912-8 |
| title | Bio-inspired algorithms for engineering |
| title_auth | Bio-inspired algorithms for engineering |
| title_exact_search | Bio-inspired algorithms for engineering |
| title_full | Bio-inspired algorithms for engineering Alma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco |
| title_fullStr | Bio-inspired algorithms for engineering Alma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco |
| title_full_unstemmed | Bio-inspired algorithms for engineering Alma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco |
| title_short | Bio-inspired algorithms for engineering |
| title_sort | bio inspired algorithms for engineering |
| topic | COMPUTERS / Programming / Algorithms bisacsh Computer algorithms fast Computer algorithms Natural computation Industrial applications Evolutionary computation Industrial applications Natural computation Scientific applications Evolutionary computation Scientific applications Ingenieurwissenschaften (DE-588)4137304-2 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd |
| topic_facet | COMPUTERS / Programming / Algorithms Computer algorithms Natural computation Industrial applications Evolutionary computation Industrial applications Natural computation Scientific applications Evolutionary computation Scientific applications Ingenieurwissenschaften Evolutionärer Algorithmus |
| url | https://www.sciencedirect.com/science/book/9780128137888 http://www.sciencedirect.com/science/book/9780128137888 |
| work_keys_str_mv | AT alanisalmay bioinspiredalgorithmsforengineering AT aranadanielnancy bioinspiredalgorithmsforengineering AT lopezfrancocarlos bioinspiredalgorithmsforengineering |