Particle swarm optimisation: classical and quantum perspectives
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton [Fla.]
CRC Press
2012
|
| Schriftenreihe: | Chapman & Hall/CRC numerical analysis and scientific computing
|
| Schlagworte: | |
| Beschreibung: | "A Chapman & Hall book." Includes bibliographical references and index "This volume provides a detailed description of the state of the art of particle swarm optimization (PSO) and quantum-behaved particle swarm optimization (QPSO) algorithms. The authors present the motivation, principles, and theoretical analysis of the algorithms. They discuss advanced topics such as the behavior of individual particles, global convergence, time complexity, and rate of convergence. The authors also present various examples and applications to show the applicability of QPSO algorithms. In addition, the book includes the source code of the algorithm"-- |
| Beschreibung: | 1 Online-Ressource (xxii, 393 p.) |
| ISBN: | 9781439835760 9781439835777 |
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| 100 | 1 | |a Sun, Jun |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Particle swarm optimisation |b classical and quantum perspectives |c Jun Sun, Choi-Hong Lai, Xiao-Jun Wu |
| 264 | 1 | |a Boca Raton [Fla.] |b CRC Press |c 2012 | |
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| 500 | |a "A Chapman & Hall book." | ||
| 500 | |a Includes bibliographical references and index | ||
| 500 | |a "This volume provides a detailed description of the state of the art of particle swarm optimization (PSO) and quantum-behaved particle swarm optimization (QPSO) algorithms. The authors present the motivation, principles, and theoretical analysis of the algorithms. They discuss advanced topics such as the behavior of individual particles, global convergence, time complexity, and rate of convergence. The authors also present various examples and applications to show the applicability of QPSO algorithms. In addition, the book includes the source code of the algorithm"-- | ||
| 650 | 4 | |a Mathematical optimization | |
| 650 | 4 | |a Particles (Nuclear physics) | |
| 650 | 4 | |a Swarm intelligence | |
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| 700 | 1 | |a Lai, Choi-Hong |e Sonstige |4 oth | |
| 700 | 1 | |a Wu, Xiao-Jun |e Sonstige |4 oth | |
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Datensatz im Suchindex
| _version_ | 1804150530144993280 |
|---|---|
| any_adam_object | |
| author | Sun, Jun |
| author_facet | Sun, Jun |
| author_role | aut |
| author_sort | Sun, Jun |
| author_variant | j s js |
| building | Verbundindex |
| bvnumber | BV041135267 |
| collection | ZDB-38-EBR |
| ctrlnum | (OCoLC)773364464 (DE-599)BVBBV041135267 |
| dewey-full | 531/.16 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 531 - Classical mechanics |
| dewey-raw | 531/.16 |
| dewey-search | 531/.16 |
| dewey-sort | 3531 216 |
| dewey-tens | 530 - Physics |
| discipline | Physik |
| format | Electronic eBook |
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| id | DE-604.BV041135267 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T00:40:23Z |
| institution | BVB |
| isbn | 9781439835760 9781439835777 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-026111006 |
| oclc_num | 773364464 |
| open_access_boolean | |
| physical | 1 Online-Ressource (xxii, 393 p.) |
| psigel | ZDB-38-EBR |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | CRC Press |
| record_format | marc |
| series2 | Chapman & Hall/CRC numerical analysis and scientific computing |
| spelling | Sun, Jun Verfasser aut Particle swarm optimisation classical and quantum perspectives Jun Sun, Choi-Hong Lai, Xiao-Jun Wu Boca Raton [Fla.] CRC Press 2012 1 Online-Ressource (xxii, 393 p.) txt rdacontent c rdamedia cr rdacarrier Chapman & Hall/CRC numerical analysis and scientific computing "A Chapman & Hall book." Includes bibliographical references and index "This volume provides a detailed description of the state of the art of particle swarm optimization (PSO) and quantum-behaved particle swarm optimization (QPSO) algorithms. The authors present the motivation, principles, and theoretical analysis of the algorithms. They discuss advanced topics such as the behavior of individual particles, global convergence, time complexity, and rate of convergence. The authors also present various examples and applications to show the applicability of QPSO algorithms. In addition, the book includes the source code of the algorithm"-- Mathematical optimization Particles (Nuclear physics) Swarm intelligence Partikel-Schwarm-Optimierung (DE-588)7658941-9 gnd rswk-swf Quantencomputer (DE-588)4533372-5 gnd rswk-swf Schwarmintelligenz (DE-588)4793676-9 gnd rswk-swf Quantencomputer (DE-588)4533372-5 s Partikel-Schwarm-Optimierung (DE-588)7658941-9 s 1\p DE-604 Schwarmintelligenz (DE-588)4793676-9 s 2\p DE-604 Lai, Choi-Hong Sonstige oth Wu, Xiao-Jun Sonstige oth 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Sun, Jun Particle swarm optimisation classical and quantum perspectives Mathematical optimization Particles (Nuclear physics) Swarm intelligence Partikel-Schwarm-Optimierung (DE-588)7658941-9 gnd Quantencomputer (DE-588)4533372-5 gnd Schwarmintelligenz (DE-588)4793676-9 gnd |
| subject_GND | (DE-588)7658941-9 (DE-588)4533372-5 (DE-588)4793676-9 |
| title | Particle swarm optimisation classical and quantum perspectives |
| title_auth | Particle swarm optimisation classical and quantum perspectives |
| title_exact_search | Particle swarm optimisation classical and quantum perspectives |
| title_full | Particle swarm optimisation classical and quantum perspectives Jun Sun, Choi-Hong Lai, Xiao-Jun Wu |
| title_fullStr | Particle swarm optimisation classical and quantum perspectives Jun Sun, Choi-Hong Lai, Xiao-Jun Wu |
| title_full_unstemmed | Particle swarm optimisation classical and quantum perspectives Jun Sun, Choi-Hong Lai, Xiao-Jun Wu |
| title_short | Particle swarm optimisation |
| title_sort | particle swarm optimisation classical and quantum perspectives |
| title_sub | classical and quantum perspectives |
| topic | Mathematical optimization Particles (Nuclear physics) Swarm intelligence Partikel-Schwarm-Optimierung (DE-588)7658941-9 gnd Quantencomputer (DE-588)4533372-5 gnd Schwarmintelligenz (DE-588)4793676-9 gnd |
| topic_facet | Mathematical optimization Particles (Nuclear physics) Swarm intelligence Partikel-Schwarm-Optimierung Quantencomputer Schwarmintelligenz |
| work_keys_str_mv | AT sunjun particleswarmoptimisationclassicalandquantumperspectives AT laichoihong particleswarmoptimisationclassicalandquantumperspectives AT wuxiaojun particleswarmoptimisationclassicalandquantumperspectives |