Multiobjective Optimization of Evacuation Routes in Stadium Using Superposed Potential Field Network Based ACO
Multiobjective evacuation routes optimization problem is defined to find out optimal evacuation routes for a group of evacuees under multiple evacuation objectives. For improving the evacuation efficiency, we abstracted the evacuation zone as a superposed potential field network (SPFN), and we prese...
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| Veröffentlicht in: | Computational Intelligence and Neuroscience 2013-01, Vol.2013 (2013), p.133-143 |
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| container_issue | 2013 |
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| container_title | Computational Intelligence and Neuroscience |
| container_volume | 2013 |
| creator | Kou, Jialiang Xiong, Shengwu Fang, Zhixiang Zong, Xinlu Chen, Zhong |
| description | Multiobjective evacuation routes optimization problem is defined to find out optimal evacuation routes for a group of evacuees under multiple evacuation objectives. For improving the evacuation efficiency, we abstracted the evacuation zone as a superposed potential field network (SPFN), and we presented SPFN-based ACO algorithm (SPFN-ACO) to solve this problem based on the proposed model. In Wuhan Sports Center case, we compared SPFN-ACO algorithm with HMERP-ACO algorithm and traditional ACO algorithm under three evacuation objectives, namely, total evacuation time, total evacuation route length, and cumulative congestion degree. The experimental results show that SPFN-ACO algorithm has a better performance while comparing with HMERP-ACO algorithm and traditional ACO algorithm for solving multi-objective evacuation routes optimization problem. |
| doi_str_mv | 10.1155/2013/369016 |
| format | Article |
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For improving the evacuation efficiency, we abstracted the evacuation zone as a superposed potential field network (SPFN), and we presented SPFN-based ACO algorithm (SPFN-ACO) to solve this problem based on the proposed model. In Wuhan Sports Center case, we compared SPFN-ACO algorithm with HMERP-ACO algorithm and traditional ACO algorithm under three evacuation objectives, namely, total evacuation time, total evacuation route length, and cumulative congestion degree. The experimental results show that SPFN-ACO algorithm has a better performance while comparing with HMERP-ACO algorithm and traditional ACO algorithm for solving multi-objective evacuation routes optimization problem.</description><identifier>ISSN: 1687-5265</identifier><identifier>EISSN: 1687-5273</identifier><identifier>DOI: 10.1155/2013/369016</identifier><identifier>PMID: 23861678</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Limiteds</publisher><subject>Algorithms ; China ; Computer Simulation ; Evacuation of civilians ; Humans ; Models, Theoretical ; Psychological aspects ; Rescue Work - methods ; Safety and security measures ; Stadiums</subject><ispartof>Computational Intelligence and Neuroscience, 2013-01, Vol.2013 (2013), p.133-143</ispartof><rights>Copyright © 2013 Jialiang Kou et al.</rights><rights>COPYRIGHT 2013 John Wiley & Sons, Inc.</rights><rights>Copyright © 2013 Jialiang Kou et al. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a535t-7a7a9bd0eed2249e7cc061b15646bb44cb52c529d95265383dd5e14b25c51c33</citedby><cites>FETCH-LOGICAL-a535t-7a7a9bd0eed2249e7cc061b15646bb44cb52c529d95265383dd5e14b25c51c33</cites><orcidid>0000-0002-7483-9699 ; 0000-0003-1651-878X ; 0000-0001-8898-6406</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3703855/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3703855/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23861678$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Lin, Cheng-Jian</contributor><creatorcontrib>Kou, Jialiang</creatorcontrib><creatorcontrib>Xiong, Shengwu</creatorcontrib><creatorcontrib>Fang, Zhixiang</creatorcontrib><creatorcontrib>Zong, Xinlu</creatorcontrib><creatorcontrib>Chen, Zhong</creatorcontrib><title>Multiobjective Optimization of Evacuation Routes in Stadium Using Superposed Potential Field Network Based ACO</title><title>Computational Intelligence and Neuroscience</title><addtitle>Comput Intell Neurosci</addtitle><description>Multiobjective evacuation routes optimization problem is defined to find out optimal evacuation routes for a group of evacuees under multiple evacuation objectives. For improving the evacuation efficiency, we abstracted the evacuation zone as a superposed potential field network (SPFN), and we presented SPFN-based ACO algorithm (SPFN-ACO) to solve this problem based on the proposed model. In Wuhan Sports Center case, we compared SPFN-ACO algorithm with HMERP-ACO algorithm and traditional ACO algorithm under three evacuation objectives, namely, total evacuation time, total evacuation route length, and cumulative congestion degree. The experimental results show that SPFN-ACO algorithm has a better performance while comparing with HMERP-ACO algorithm and traditional ACO algorithm for solving multi-objective evacuation routes optimization problem.</description><subject>Algorithms</subject><subject>China</subject><subject>Computer Simulation</subject><subject>Evacuation of civilians</subject><subject>Humans</subject><subject>Models, Theoretical</subject><subject>Psychological aspects</subject><subject>Rescue Work - methods</subject><subject>Safety and security measures</subject><subject>Stadiums</subject><issn>1687-5265</issn><issn>1687-5273</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><recordid>eNqFkk1v1DAQhiMEoqVw4gyyxAWBlvojtpML0rJqAWlhK1rOlmNPtl6SOMTOVvDrcZqyoicOlj2eR4_Gep1lzwl-RwjnpxQTdspEiYl4kB0TUcgFp5I9PJwFP8qehLDDmEuO6ePsiLJCECGL46z7MjbR-WoHJro9oE0fXet-63TXIV-js70241x982OEgFyHLqO2bmzR9-C6Lbocexh6H8CiCx-hi0436NxBY9FXiDd--IE-6Km7XG2eZo9q3QR4drefZFfnZ1erT4v15uPn1XK90JzxuJBa6rKyGMBSmpcgjcGCVISLXFRVnpuKU8Npacvpdaxg1nIgeUW54cQwdpK9n7X9WLVgTRpq0I3qB9fq4Zfy2qn7nc5dq63fKyYxKzhPgtd3gsH_HCFE1bpgoGl0B34MiuSY4KIsS5nQVzO61Q0o19U-Gc2EqyWTjPKc5iJRb2fKDD6EAerDMASrKUY1xajmGBP98t_5D-zf3BLwZgauXWf1jfuP7cUMQ0Kg1gc4F4LjSbae-9oNLjq18-PQpXTURbIInD4TxvTWSG43iQXF6YrdLwhLK2fsD-3Owz8</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Kou, Jialiang</creator><creator>Xiong, Shengwu</creator><creator>Fang, Zhixiang</creator><creator>Zong, Xinlu</creator><creator>Chen, Zhong</creator><general>Hindawi Limiteds</general><general>Hindawi Puplishing Corporation</general><general>Hindawi Publishing Corporation</general><general>John Wiley & Sons, Inc</general><scope>188</scope><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7483-9699</orcidid><orcidid>https://orcid.org/0000-0003-1651-878X</orcidid><orcidid>https://orcid.org/0000-0001-8898-6406</orcidid></search><sort><creationdate>20130101</creationdate><title>Multiobjective Optimization of Evacuation Routes in Stadium Using Superposed Potential Field Network Based ACO</title><author>Kou, Jialiang ; 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For improving the evacuation efficiency, we abstracted the evacuation zone as a superposed potential field network (SPFN), and we presented SPFN-based ACO algorithm (SPFN-ACO) to solve this problem based on the proposed model. In Wuhan Sports Center case, we compared SPFN-ACO algorithm with HMERP-ACO algorithm and traditional ACO algorithm under three evacuation objectives, namely, total evacuation time, total evacuation route length, and cumulative congestion degree. 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| subjects | Algorithms China Computer Simulation Evacuation of civilians Humans Models, Theoretical Psychological aspects Rescue Work - methods Safety and security measures Stadiums |
| title | Multiobjective Optimization of Evacuation Routes in Stadium Using Superposed Potential Field Network Based ACO |
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