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...
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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 |
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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> |
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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 |
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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 |
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