Swarm intelligence algorithms:
Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resultin...
Gespeichert in:
| Weitere beteiligte Personen: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boca Raton
CRC Press
2020
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781000168747/?ar |
| Zusammenfassung: | Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish or bird flocks. Swarm intelligence algorithms are used to solve difficult optimization problems for which there are no exact solving methods or the use of such methods is impossible, e.g. due to unacceptable computational time. This set comprises two volumes: Swarm Intelligence Algorithms: A Tutorial and Swarm Intelligence Algorithms: Modifications and Applications. The first volume thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. It contains a detailed explanation of how each algorithm works, along with relevant program codes in Matlab and the C ++ programming language, as well as numerical examples illustrating step-by-step how individual algorithms work. The second volume describes selected modifications of these algorithms and presents their practical applications. This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. It contains a short description along with a pseudo-code showing the various stages of its operation. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem. |
| Umfang: | 1 Online-Ressource illustrations (black and white) |
| ISBN: | 1000168727 9781003046882 1003046886 9781000168723 9781000168730 1000168735 9781000168747 1000168743 |
Internformat
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-081558708 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121316.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220815s2020 xx |||||o 00| ||eng c | ||
| 020 | |a 1000168727 |9 1-000-16872-7 | ||
| 020 | |a 9781003046882 |c electronic bk. |9 978-1-003-04688-2 | ||
| 020 | |a 1003046886 |c electronic bk. |9 1-003-04688-6 | ||
| 020 | |a 9781000168723 |c electronic bk. : PDF |9 978-1-000-16872-3 | ||
| 020 | |a 9781000168730 |c electronic bk. : Mobipocket |9 978-1-000-16873-0 | ||
| 020 | |a 1000168735 |c electronic bk. : Mobipocket |9 1-000-16873-5 | ||
| 020 | |a 9781000168747 |c electronic bk. : EPUB |9 978-1-000-16874-7 | ||
| 020 | |a 1000168743 |c electronic bk. : EPUB |9 1-000-16874-3 | ||
| 035 | |a (DE-627-1)081558708 | ||
| 035 | |a (DE-599)KEP081558708 | ||
| 035 | |a (ORHE)9781000168747 | ||
| 035 | |a (DE-627-1)081558708 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 072 | 7 | |a COM |2 bisacsh | |
| 072 | 7 | |a MAT |2 bisacsh | |
| 072 | 7 | |a TEC |2 bisacsh | |
| 072 | 7 | |a UMB |2 bicssc | |
| 082 | 0 | |a 006.3824 |2 23 | |
| 245 | 1 | 0 | |a Swarm intelligence algorithms |c edited by Adam Slowik |
| 264 | 1 | |a Boca Raton |b CRC Press |c 2020 | |
| 300 | |a 1 Online-Ressource |b illustrations (black and white) | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish or bird flocks. Swarm intelligence algorithms are used to solve difficult optimization problems for which there are no exact solving methods or the use of such methods is impossible, e.g. due to unacceptable computational time. This set comprises two volumes: Swarm Intelligence Algorithms: A Tutorial and Swarm Intelligence Algorithms: Modifications and Applications. The first volume thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. It contains a detailed explanation of how each algorithm works, along with relevant program codes in Matlab and the C ++ programming language, as well as numerical examples illustrating step-by-step how individual algorithms work. The second volume describes selected modifications of these algorithms and presents their practical applications. This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. It contains a short description along with a pseudo-code showing the various stages of its operation. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem. | ||
| 650 | 0 | |a Swarm intelligence | |
| 650 | 0 | |a Algorithms | |
| 650 | 0 | |a Mathematical optimization | |
| 650 | 2 | |a Algorithms | |
| 650 | 4 | |a Algorithmes | |
| 650 | 4 | |a Optimisation mathématique | |
| 650 | 4 | |a algorithms | |
| 650 | 4 | |a COMPUTERS / Computer Engineering | |
| 650 | 4 | |a MATHEMATICS / Arithmetic | |
| 650 | 4 | |a TECHNOLOGY / Electricity | |
| 650 | 4 | |a Algorithms | |
| 650 | 4 | |a Mathematical optimization | |
| 650 | 4 | |a Swarm intelligence | |
| 700 | 1 | |a Slowik, Adam |e HerausgeberIn |4 edt | |
| 776 | 1 | |z 9780367023454 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9780367023454 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781000168747/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-081558708 |
|---|---|
| _version_ | 1821494820407869440 |
| adam_text | |
| any_adam_object | |
| author2 | Slowik, Adam |
| author2_role | edt |
| author2_variant | a s as |
| author_facet | Slowik, Adam |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)081558708 (DE-599)KEP081558708 (ORHE)9781000168747 |
| dewey-full | 006.3824 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3824 |
| dewey-search | 006.3824 |
| dewey-sort | 16.3824 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03860cam a22006372 4500</leader><controlfield tag="001">ZDB-30-ORH-081558708</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121316.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220815s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1000168727</subfield><subfield code="9">1-000-16872-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781003046882</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-003-04688-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1003046886</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-003-04688-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781000168723</subfield><subfield code="c">electronic bk. : PDF</subfield><subfield code="9">978-1-000-16872-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781000168730</subfield><subfield code="c">electronic bk. : Mobipocket</subfield><subfield code="9">978-1-000-16873-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1000168735</subfield><subfield code="c">electronic bk. : Mobipocket</subfield><subfield code="9">1-000-16873-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781000168747</subfield><subfield code="c">electronic bk. : EPUB</subfield><subfield code="9">978-1-000-16874-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1000168743</subfield><subfield code="c">electronic bk. : EPUB</subfield><subfield code="9">1-000-16874-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)081558708</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP081558708</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781000168747</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)081558708</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">MAT</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">TEC</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">UMB</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3824</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Swarm intelligence algorithms</subfield><subfield code="c">edited by Adam Slowik</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boca Raton</subfield><subfield code="b">CRC Press</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield><subfield code="b">illustrations (black and white)</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">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish or bird flocks. Swarm intelligence algorithms are used to solve difficult optimization problems for which there are no exact solving methods or the use of such methods is impossible, e.g. due to unacceptable computational time. This set comprises two volumes: Swarm Intelligence Algorithms: A Tutorial and Swarm Intelligence Algorithms: Modifications and Applications. The first volume thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. It contains a detailed explanation of how each algorithm works, along with relevant program codes in Matlab and the C ++ programming language, as well as numerical examples illustrating step-by-step how individual algorithms work. The second volume describes selected modifications of these algorithms and presents their practical applications. This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. It contains a short description along with a pseudo-code showing the various stages of its operation. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Swarm intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Mathematical optimization</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Algorithmes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Optimisation mathématique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS / Computer Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">MATHEMATICS / Arithmetic</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">TECHNOLOGY / Electricity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical optimization</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Swarm intelligence</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Slowik, Adam</subfield><subfield code="e">HerausgeberIn</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9780367023454</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">9780367023454</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781000168747/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-081558708 |
| illustrated | Illustrated |
| indexdate | 2025-01-17T11:20:27Z |
| institution | BVB |
| isbn | 1000168727 9781003046882 1003046886 9781000168723 9781000168730 1000168735 9781000168747 1000168743 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource illustrations (black and white) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | CRC Press |
| record_format | marc |
| spelling | Swarm intelligence algorithms edited by Adam Slowik Boca Raton CRC Press 2020 1 Online-Ressource illustrations (black and white) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish or bird flocks. Swarm intelligence algorithms are used to solve difficult optimization problems for which there are no exact solving methods or the use of such methods is impossible, e.g. due to unacceptable computational time. This set comprises two volumes: Swarm Intelligence Algorithms: A Tutorial and Swarm Intelligence Algorithms: Modifications and Applications. The first volume thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. It contains a detailed explanation of how each algorithm works, along with relevant program codes in Matlab and the C ++ programming language, as well as numerical examples illustrating step-by-step how individual algorithms work. The second volume describes selected modifications of these algorithms and presents their practical applications. This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. It contains a short description along with a pseudo-code showing the various stages of its operation. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem. Swarm intelligence Algorithms Mathematical optimization Algorithmes Optimisation mathématique algorithms COMPUTERS / Computer Engineering MATHEMATICS / Arithmetic TECHNOLOGY / Electricity Slowik, Adam HerausgeberIn edt 9780367023454 Erscheint auch als Druck-Ausgabe 9780367023454 |
| spellingShingle | Swarm intelligence algorithms Swarm intelligence Algorithms Mathematical optimization Algorithmes Optimisation mathématique algorithms COMPUTERS / Computer Engineering MATHEMATICS / Arithmetic TECHNOLOGY / Electricity |
| title | Swarm intelligence algorithms |
| title_auth | Swarm intelligence algorithms |
| title_exact_search | Swarm intelligence algorithms |
| title_full | Swarm intelligence algorithms edited by Adam Slowik |
| title_fullStr | Swarm intelligence algorithms edited by Adam Slowik |
| title_full_unstemmed | Swarm intelligence algorithms edited by Adam Slowik |
| title_short | Swarm intelligence algorithms |
| title_sort | swarm intelligence algorithms |
| topic | Swarm intelligence Algorithms Mathematical optimization Algorithmes Optimisation mathématique algorithms COMPUTERS / Computer Engineering MATHEMATICS / Arithmetic TECHNOLOGY / Electricity |
| topic_facet | Swarm intelligence Algorithms Mathematical optimization Algorithmes Optimisation mathématique algorithms COMPUTERS / Computer Engineering MATHEMATICS / Arithmetic TECHNOLOGY / Electricity |
| work_keys_str_mv | AT slowikadam swarmintelligencealgorithms |