A Modified Particle Swarm Optimization Algorithm
A shuffled complex evolution of particle swarm optimization algorithm called SCE-PSO is introduced in this paper. In SCE-PSO, a population of points sampled randomly from the feasible space is partitioned into several complexes, each of which is permitted to evolve independently based on particle sw...
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creator | Jiang Yan Hu Tiesong Huang Chongchao Wu Xianing |
description | A shuffled complex evolution of particle swarm optimization algorithm called SCE-PSO is introduced in this paper. In SCE-PSO, a population of points sampled randomly from the feasible space is partitioned into several complexes, each of which is permitted to evolve independently based on particle swarm optimization (PSO). At periodic stages in the evolution, the entire population is shuffled and points are reassigned to complexes to ensure information sharing. In the simulation part, numerical experiences and case study are performed, and the performance of the proposed algorithm is compared to PSO to demonstrate its efficiency |
doi_str_mv | 10.1109/ICCIAS.2006.294167 |
format | Conference Proceeding |
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In the simulation part, numerical experiences and case study are performed, and the performance of the proposed algorithm is compared to PSO to demonstrate its efficiency</description><identifier>ISBN: 1424406048</identifier><identifier>ISBN: 9781424406043</identifier><identifier>EISBN: 1424406056</identifier><identifier>EISBN: 9781424406050</identifier><identifier>DOI: 10.1109/ICCIAS.2006.294167</identifier><language>eng</language><publisher>IEEE</publisher><subject>Equations ; Hydroelectric power generation ; Laboratories ; Mathematics ; Numerical simulation ; Particle swarm optimization ; Particle tracking ; Partitioning algorithms ; Statistics ; Water resources</subject><ispartof>2006 International Conference on Computational Intelligence and Security, 2006, Vol.1, p.421-424</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4072120$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4072120$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jiang Yan</creatorcontrib><creatorcontrib>Hu Tiesong</creatorcontrib><creatorcontrib>Huang Chongchao</creatorcontrib><creatorcontrib>Wu Xianing</creatorcontrib><title>A Modified Particle Swarm Optimization Algorithm</title><title>2006 International Conference on Computational Intelligence and Security</title><addtitle>ICCIAS</addtitle><description>A shuffled complex evolution of particle swarm optimization algorithm called SCE-PSO is introduced in this paper. 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In the simulation part, numerical experiences and case study are performed, and the performance of the proposed algorithm is compared to PSO to demonstrate its efficiency</description><subject>Equations</subject><subject>Hydroelectric power generation</subject><subject>Laboratories</subject><subject>Mathematics</subject><subject>Numerical simulation</subject><subject>Particle swarm optimization</subject><subject>Particle tracking</subject><subject>Partitioning algorithms</subject><subject>Statistics</subject><subject>Water resources</subject><isbn>1424406048</isbn><isbn>9781424406043</isbn><isbn>1424406056</isbn><isbn>9781424406050</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFjM1KxDAURiMiqOO8gG7yAq03fzeTZSnqFEZGGF0Pt02qkdYOaUD06R1Q8Fucw9l8jF0LKIUAd9vUdVPtSgmApXRaoD1hl0JLrQHB4Ol_6NU5W87zOxynnHKgLxhU_HHysY_B8ydKOXZD4LtPSiPfHnIc4zflOH3wanidUsxv4xU762mYw_LPC_Zyf_dcr4vN9qGpq00RhTW58AE7L6ztjEeyQEiEvel6o4Ml1bbeOwPY2rCSTirVozD-SKtkqxUhqAW7-f2NIYT9IcWR0tdeg5VCgvoBDdtEEw</recordid><startdate>200611</startdate><enddate>200611</enddate><creator>Jiang Yan</creator><creator>Hu Tiesong</creator><creator>Huang Chongchao</creator><creator>Wu Xianing</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200611</creationdate><title>A Modified Particle Swarm Optimization Algorithm</title><author>Jiang Yan ; Hu Tiesong ; Huang Chongchao ; Wu Xianing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-de6cd177c5d6a70a6aa6f5cf54e7a3bbdd9506b7e829233f615d3f6732b43a603</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Equations</topic><topic>Hydroelectric power generation</topic><topic>Laboratories</topic><topic>Mathematics</topic><topic>Numerical simulation</topic><topic>Particle swarm optimization</topic><topic>Particle tracking</topic><topic>Partitioning algorithms</topic><topic>Statistics</topic><topic>Water resources</topic><toplevel>online_resources</toplevel><creatorcontrib>Jiang Yan</creatorcontrib><creatorcontrib>Hu Tiesong</creatorcontrib><creatorcontrib>Huang Chongchao</creatorcontrib><creatorcontrib>Wu Xianing</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>Jiang Yan</au><au>Hu Tiesong</au><au>Huang Chongchao</au><au>Wu Xianing</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Modified Particle Swarm Optimization Algorithm</atitle><btitle>2006 International Conference on Computational Intelligence and Security</btitle><stitle>ICCIAS</stitle><date>2006-11</date><risdate>2006</risdate><volume>1</volume><spage>421</spage><epage>424</epage><pages>421-424</pages><isbn>1424406048</isbn><isbn>9781424406043</isbn><eisbn>1424406056</eisbn><eisbn>9781424406050</eisbn><abstract>A shuffled complex evolution of particle swarm optimization algorithm called SCE-PSO is introduced in this paper. In SCE-PSO, a population of points sampled randomly from the feasible space is partitioned into several complexes, each of which is permitted to evolve independently based on particle swarm optimization (PSO). At periodic stages in the evolution, the entire population is shuffled and points are reassigned to complexes to ensure information sharing. In the simulation part, numerical experiences and case study are performed, and the performance of the proposed algorithm is compared to PSO to demonstrate its efficiency</abstract><pub>IEEE</pub><doi>10.1109/ICCIAS.2006.294167</doi><tpages>4</tpages></addata></record> |
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ispartof | 2006 International Conference on Computational Intelligence and Security, 2006, Vol.1, p.421-424 |
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subjects | Equations Hydroelectric power generation Laboratories Mathematics Numerical simulation Particle swarm optimization Particle tracking Partitioning algorithms Statistics Water resources |
title | A Modified Particle Swarm Optimization Algorithm |
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