Using ant colony optimization to find low energy atomic cluster structures

Over the past 20 years atomic cluster structures have been intensively studied because of their importance in physics, chemistry and recently material science. Unfortunately finding the lowest energy structure, which is the most stable configuration, is NP-hard. In this paper, we present preliminary...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Tomson, P., Greenwood, G.W.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2682 Vol. 3
container_issue
container_start_page 2677
container_title
container_volume 3
creator Tomson, P.
Greenwood, G.W.
description Over the past 20 years atomic cluster structures have been intensively studied because of their importance in physics, chemistry and recently material science. Unfortunately finding the lowest energy structure, which is the most stable configuration, is NP-hard. In this paper, we present preliminary results on an ant colony optimization algorithm used in conjunction with a Monte Carlo sampling method to find low energy configurations of small silicon atomic clusters.
doi_str_mv 10.1109/CEC.2005.1555030
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1555030</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1555030</ieee_id><sourcerecordid>1555030</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-145c093c613f6fb0dfd30ee64dc344abce47b48cdc2e6b60632ff32fde89f8d23</originalsourceid><addsrcrecordid>eNotkMtqwzAUREUf0CTtvtCNfsDulfWwtSwmfRHopoHugi1dBRXbCpZMcb--hmYxzOLAHBhC7hnkjIF-rLd1XgDInEkpgcMFWTEtWAZQqEuyhrICrrni8moBUOmsLKuvG7KO8RuACcn0irzvox-OtBkSNaELw0zDKfne_zbJh4GmQJ0fLO3CD8UBx-NMmxR6b6jppphwpDGNk0nTiPGWXLumi3h37g3ZP28_69ds9_HyVj_tMs9KmbJFbEBzoxh3yrVgneWAqIQ1XIimNSjKVlTGmgJVq0DxwrklFivtKlvwDXn43_WIeDiNvm_G-XD-gP8BGkBP2A</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Using ant colony optimization to find low energy atomic cluster structures</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Tomson, P. ; Greenwood, G.W.</creator><creatorcontrib>Tomson, P. ; Greenwood, G.W.</creatorcontrib><description>Over the past 20 years atomic cluster structures have been intensively studied because of their importance in physics, chemistry and recently material science. Unfortunately finding the lowest energy structure, which is the most stable configuration, is NP-hard. In this paper, we present preliminary results on an ant colony optimization algorithm used in conjunction with a Monte Carlo sampling method to find low energy configurations of small silicon atomic clusters.</description><identifier>ISSN: 1089-778X</identifier><identifier>ISBN: 0780393635</identifier><identifier>ISBN: 9780780393639</identifier><identifier>EISSN: 1941-0026</identifier><identifier>DOI: 10.1109/CEC.2005.1555030</identifier><language>eng</language><publisher>IEEE</publisher><subject>Ant colony optimization ; Chemicals ; Chemistry ; Conducting materials ; Electrons ; Gold ; Physics computing ; Potential energy ; Power engineering and energy ; Stability</subject><ispartof>2005 IEEE Congress on Evolutionary Computation, 2005, Vol.3, p.2677-2682 Vol. 3</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1555030$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,796,2058,4050,4051,27925,54758,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1555030$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Tomson, P.</creatorcontrib><creatorcontrib>Greenwood, G.W.</creatorcontrib><title>Using ant colony optimization to find low energy atomic cluster structures</title><title>2005 IEEE Congress on Evolutionary Computation</title><addtitle>CEC</addtitle><description>Over the past 20 years atomic cluster structures have been intensively studied because of their importance in physics, chemistry and recently material science. Unfortunately finding the lowest energy structure, which is the most stable configuration, is NP-hard. In this paper, we present preliminary results on an ant colony optimization algorithm used in conjunction with a Monte Carlo sampling method to find low energy configurations of small silicon atomic clusters.</description><subject>Ant colony optimization</subject><subject>Chemicals</subject><subject>Chemistry</subject><subject>Conducting materials</subject><subject>Electrons</subject><subject>Gold</subject><subject>Physics computing</subject><subject>Potential energy</subject><subject>Power engineering and energy</subject><subject>Stability</subject><issn>1089-778X</issn><issn>1941-0026</issn><isbn>0780393635</isbn><isbn>9780780393639</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkMtqwzAUREUf0CTtvtCNfsDulfWwtSwmfRHopoHugi1dBRXbCpZMcb--hmYxzOLAHBhC7hnkjIF-rLd1XgDInEkpgcMFWTEtWAZQqEuyhrICrrni8moBUOmsLKuvG7KO8RuACcn0irzvox-OtBkSNaELw0zDKfne_zbJh4GmQJ0fLO3CD8UBx-NMmxR6b6jppphwpDGNk0nTiPGWXLumi3h37g3ZP28_69ds9_HyVj_tMs9KmbJFbEBzoxh3yrVgneWAqIQ1XIimNSjKVlTGmgJVq0DxwrklFivtKlvwDXn43_WIeDiNvm_G-XD-gP8BGkBP2A</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Tomson, P.</creator><creator>Greenwood, G.W.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2005</creationdate><title>Using ant colony optimization to find low energy atomic cluster structures</title><author>Tomson, P. ; Greenwood, G.W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-145c093c613f6fb0dfd30ee64dc344abce47b48cdc2e6b60632ff32fde89f8d23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Ant colony optimization</topic><topic>Chemicals</topic><topic>Chemistry</topic><topic>Conducting materials</topic><topic>Electrons</topic><topic>Gold</topic><topic>Physics computing</topic><topic>Potential energy</topic><topic>Power engineering and energy</topic><topic>Stability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tomson, P.</creatorcontrib><creatorcontrib>Greenwood, G.W.</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></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tomson, P.</au><au>Greenwood, G.W.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Using ant colony optimization to find low energy atomic cluster structures</atitle><btitle>2005 IEEE Congress on Evolutionary Computation</btitle><stitle>CEC</stitle><date>2005</date><risdate>2005</risdate><volume>3</volume><spage>2677</spage><epage>2682 Vol. 3</epage><pages>2677-2682 Vol. 3</pages><issn>1089-778X</issn><eissn>1941-0026</eissn><isbn>0780393635</isbn><isbn>9780780393639</isbn><abstract>Over the past 20 years atomic cluster structures have been intensively studied because of their importance in physics, chemistry and recently material science. Unfortunately finding the lowest energy structure, which is the most stable configuration, is NP-hard. In this paper, we present preliminary results on an ant colony optimization algorithm used in conjunction with a Monte Carlo sampling method to find low energy configurations of small silicon atomic clusters.</abstract><pub>IEEE</pub><doi>10.1109/CEC.2005.1555030</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1089-778X
ispartof 2005 IEEE Congress on Evolutionary Computation, 2005, Vol.3, p.2677-2682 Vol. 3
issn 1089-778X
1941-0026
language eng
recordid cdi_ieee_primary_1555030
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Ant colony optimization
Chemicals
Chemistry
Conducting materials
Electrons
Gold
Physics computing
Potential energy
Power engineering and energy
Stability
title Using ant colony optimization to find low energy atomic cluster structures
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T06%3A18%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Using%20ant%20colony%20optimization%20to%20find%20low%20energy%20atomic%20cluster%20structures&rft.btitle=2005%20IEEE%20Congress%20on%20Evolutionary%20Computation&rft.au=Tomson,%20P.&rft.date=2005&rft.volume=3&rft.spage=2677&rft.epage=2682%20Vol.%203&rft.pages=2677-2682%20Vol.%203&rft.issn=1089-778X&rft.eissn=1941-0026&rft.isbn=0780393635&rft.isbn_list=9780780393639&rft_id=info:doi/10.1109/CEC.2005.1555030&rft_dat=%3Cieee_6IE%3E1555030%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1555030&rfr_iscdi=true