Multi-ring Particle Swarm Optimization
Particle swarm optimization (PSO) has been used to solve many different types of optimization problems. By applying PSO to problems where the feasible solutions are too much difficult to find, new ways of solving the problems are required, mainly for hyper dimensional spaces. Many variations on the...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 116 |
|---|---|
| container_issue | |
| container_start_page | 111 |
| container_title | |
| container_volume | 10 |
| creator | Bastos-Filho, C.J.A. Caraciolo, M.P. Miranda, P.B.C. Carvalho, D.F. |
| description | Particle swarm optimization (PSO) has been used to solve many different types of optimization problems. By applying PSO to problems where the feasible solutions are too much difficult to find, new ways of solving the problems are required, mainly for hyper dimensional spaces. Many variations on the basic PSO form have been explored, targeting the velocity update equation. Other approaches attempt to change the structure of the swarm. In this paper a novel PSO topology based on multiples rings is proposed for improving the results achieved focusing on the diversity provided by the ring rotations. A comparison with star and ring topologies was performed. Our simulation results have shown that the proposed topology achieves better results than the well known star and ring topologies. |
| doi_str_mv | 10.1109/SBRN.2008.14 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>proquest_6IE</sourceid><recordid>TN_cdi_proquest_miscellaneous_34512003</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4665901</ieee_id><sourcerecordid>34512003</sourcerecordid><originalsourceid>FETCH-LOGICAL-i1594-8905481b9ed96a986b97c0a27df4af5b8e173fbd782dd53dca777016372aee633</originalsourceid><addsrcrecordid>eNotkDtPwzAUhc1Loird2FgydUvw9fXrjlCVh1QoojBHTuIgo6QNTioEv55COcs3nE9nOIydA88AOF2urp8fM8G5zUAesAkZy40mhahBHLKRQKNSLlAd_XUghZQogPQxG4ESIpWW6JRN-v6d7yIVWiFHbPqwbYaQxrB-S55cHELZ-GT16WKbLLshtOHbDWGzPmMntWt6P_nnmL3ezF9md-lieXs_u1qkARTJ1BJX0kJBviLtyOqCTMmdMFUtXa0K68FgXVTGiqpSWJXOGMNBoxHOe404ZtP9bhc3H1vfD3kb-tI3jVv7zbbPUSrYffArXuzF4L3PuxhaF79yqbUiDvgD38BROw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>34512003</pqid></control><display><type>conference_proceeding</type><title>Multi-ring Particle Swarm Optimization</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Bastos-Filho, C.J.A. ; Caraciolo, M.P. ; Miranda, P.B.C. ; Carvalho, D.F.</creator><creatorcontrib>Bastos-Filho, C.J.A. ; Caraciolo, M.P. ; Miranda, P.B.C. ; Carvalho, D.F.</creatorcontrib><description>Particle swarm optimization (PSO) has been used to solve many different types of optimization problems. By applying PSO to problems where the feasible solutions are too much difficult to find, new ways of solving the problems are required, mainly for hyper dimensional spaces. Many variations on the basic PSO form have been explored, targeting the velocity update equation. Other approaches attempt to change the structure of the swarm. In this paper a novel PSO topology based on multiples rings is proposed for improving the results achieved focusing on the diversity provided by the ring rotations. A comparison with star and ring topologies was performed. Our simulation results have shown that the proposed topology achieves better results than the well known star and ring topologies.</description><identifier>ISSN: 1522-4899</identifier><identifier>ISBN: 9781424432196</identifier><identifier>ISBN: 1424432197</identifier><identifier>EISSN: 2375-0235</identifier><identifier>EISBN: 9780769533612</identifier><identifier>EISBN: 0769533612</identifier><identifier>DOI: 10.1109/SBRN.2008.14</identifier><language>eng</language><publisher>IEEE</publisher><subject>Acceleration ; Birds ; Computer networks ; Convergence ; Equations ; Explosions ; Neural networks ; Particle swarm optimization ; Random number generation ; Swarm Intelligence ; Topology</subject><ispartof>2008 10th Brazilian Symposium on Neural Networks, 2008, Vol.10, p.111-116</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4665901$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,314,776,780,785,786,2052,27901,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4665901$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Bastos-Filho, C.J.A.</creatorcontrib><creatorcontrib>Caraciolo, M.P.</creatorcontrib><creatorcontrib>Miranda, P.B.C.</creatorcontrib><creatorcontrib>Carvalho, D.F.</creatorcontrib><title>Multi-ring Particle Swarm Optimization</title><title>2008 10th Brazilian Symposium on Neural Networks</title><addtitle>SBRN</addtitle><description>Particle swarm optimization (PSO) has been used to solve many different types of optimization problems. By applying PSO to problems where the feasible solutions are too much difficult to find, new ways of solving the problems are required, mainly for hyper dimensional spaces. Many variations on the basic PSO form have been explored, targeting the velocity update equation. Other approaches attempt to change the structure of the swarm. In this paper a novel PSO topology based on multiples rings is proposed for improving the results achieved focusing on the diversity provided by the ring rotations. A comparison with star and ring topologies was performed. Our simulation results have shown that the proposed topology achieves better results than the well known star and ring topologies.</description><subject>Acceleration</subject><subject>Birds</subject><subject>Computer networks</subject><subject>Convergence</subject><subject>Equations</subject><subject>Explosions</subject><subject>Neural networks</subject><subject>Particle swarm optimization</subject><subject>Random number generation</subject><subject>Swarm Intelligence</subject><subject>Topology</subject><issn>1522-4899</issn><issn>2375-0235</issn><isbn>9781424432196</isbn><isbn>1424432197</isbn><isbn>9780769533612</isbn><isbn>0769533612</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkDtPwzAUhc1Loird2FgydUvw9fXrjlCVh1QoojBHTuIgo6QNTioEv55COcs3nE9nOIydA88AOF2urp8fM8G5zUAesAkZy40mhahBHLKRQKNSLlAd_XUghZQogPQxG4ESIpWW6JRN-v6d7yIVWiFHbPqwbYaQxrB-S55cHELZ-GT16WKbLLshtOHbDWGzPmMntWt6P_nnmL3ezF9md-lieXs_u1qkARTJ1BJX0kJBviLtyOqCTMmdMFUtXa0K68FgXVTGiqpSWJXOGMNBoxHOe404ZtP9bhc3H1vfD3kb-tI3jVv7zbbPUSrYffArXuzF4L3PuxhaF79yqbUiDvgD38BROw</recordid><startdate>200810</startdate><enddate>200810</enddate><creator>Bastos-Filho, C.J.A.</creator><creator>Caraciolo, M.P.</creator><creator>Miranda, P.B.C.</creator><creator>Carvalho, D.F.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>200810</creationdate><title>Multi-ring Particle Swarm Optimization</title><author>Bastos-Filho, C.J.A. ; Caraciolo, M.P. ; Miranda, P.B.C. ; Carvalho, D.F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1594-8905481b9ed96a986b97c0a27df4af5b8e173fbd782dd53dca777016372aee633</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Acceleration</topic><topic>Birds</topic><topic>Computer networks</topic><topic>Convergence</topic><topic>Equations</topic><topic>Explosions</topic><topic>Neural networks</topic><topic>Particle swarm optimization</topic><topic>Random number generation</topic><topic>Swarm Intelligence</topic><topic>Topology</topic><toplevel>online_resources</toplevel><creatorcontrib>Bastos-Filho, C.J.A.</creatorcontrib><creatorcontrib>Caraciolo, M.P.</creatorcontrib><creatorcontrib>Miranda, P.B.C.</creatorcontrib><creatorcontrib>Carvalho, D.F.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bastos-Filho, C.J.A.</au><au>Caraciolo, M.P.</au><au>Miranda, P.B.C.</au><au>Carvalho, D.F.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multi-ring Particle Swarm Optimization</atitle><btitle>2008 10th Brazilian Symposium on Neural Networks</btitle><stitle>SBRN</stitle><date>2008-10</date><risdate>2008</risdate><volume>10</volume><spage>111</spage><epage>116</epage><pages>111-116</pages><issn>1522-4899</issn><eissn>2375-0235</eissn><isbn>9781424432196</isbn><isbn>1424432197</isbn><eisbn>9780769533612</eisbn><eisbn>0769533612</eisbn><abstract>Particle swarm optimization (PSO) has been used to solve many different types of optimization problems. By applying PSO to problems where the feasible solutions are too much difficult to find, new ways of solving the problems are required, mainly for hyper dimensional spaces. Many variations on the basic PSO form have been explored, targeting the velocity update equation. Other approaches attempt to change the structure of the swarm. In this paper a novel PSO topology based on multiples rings is proposed for improving the results achieved focusing on the diversity provided by the ring rotations. A comparison with star and ring topologies was performed. Our simulation results have shown that the proposed topology achieves better results than the well known star and ring topologies.</abstract><pub>IEEE</pub><doi>10.1109/SBRN.2008.14</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1522-4899 |
| ispartof | 2008 10th Brazilian Symposium on Neural Networks, 2008, Vol.10, p.111-116 |
| issn | 1522-4899 2375-0235 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_34512003 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Acceleration Birds Computer networks Convergence Equations Explosions Neural networks Particle swarm optimization Random number generation Swarm Intelligence Topology |
| title | Multi-ring Particle Swarm Optimization |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-19T00%3A49%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Multi-ring%20Particle%20Swarm%20Optimization&rft.btitle=2008%2010th%20Brazilian%20Symposium%20on%20Neural%20Networks&rft.au=Bastos-Filho,%20C.J.A.&rft.date=2008-10&rft.volume=10&rft.spage=111&rft.epage=116&rft.pages=111-116&rft.issn=1522-4899&rft.eissn=2375-0235&rft.isbn=9781424432196&rft.isbn_list=1424432197&rft_id=info:doi/10.1109/SBRN.2008.14&rft_dat=%3Cproquest_6IE%3E34512003%3C/proquest_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9780769533612&rft.eisbn_list=0769533612&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=34512003&rft_id=info:pmid/&rft_ieee_id=4665901&rfr_iscdi=true |