Modified Monkey Algorithm and its Application to the Optimal Sensor Placement
Optimal sensor placement (OSP) technique plays a key role in the structural health monitoring (SHM) of large-scale structures. In this paper, an optimal sensor placement (OSP) method based on a new intelligent algorithm, i.e., monkey algorithm (MA) is proposed. Considering the limitation of MA and t...
Gespeichert in:
| Veröffentlicht in: | Applied Mechanics and Materials 2012-05, Vol.178-181, p.2699-2702 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 2702 |
|---|---|
| container_issue | |
| container_start_page | 2699 |
| container_title | Applied Mechanics and Materials |
| container_volume | 178-181 |
| creator | Zhang, Xu Dong Li, Hong Nan Yi, Ting Hua |
| description | Optimal sensor placement (OSP) technique plays a key role in the structural health monitoring (SHM) of large-scale structures. In this paper, an optimal sensor placement (OSP) method based on a new intelligent algorithm, i.e., monkey algorithm (MA) is proposed. Considering the limitation of MA and the characteristics of OSP, the integer encoding to solve the location of the monkeys is proposed. The diversity of the monkeys is increased by introducing the hamming distance in the initial location, in order to improve the capacity of global search, and the random disturbance mechanism of the Harmony search is introduced in the process of climbing to improve the capacity of local search. Finally, taking the Dalian World Trade Building as an example, the OSP schemes are chosen. The numerical example demonstrated the feasibility and effectiveness of the proposed method. |
| doi_str_mv | 10.4028/www.scientific.net/AMM.178-181.2699 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1443261089</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3103696681</sourcerecordid><originalsourceid>FETCH-LOGICAL-c371t-6e06c3f0123e01d4ef6398776600d49d7245ed799e8d2205a249b44a5c3668463</originalsourceid><addsrcrecordid>eNqVkEtLAzEUhYMP0Fb_Q8ClzDSvyWNZSn1AhwrqOoyZjJ06nYxJSum_N7WCbl3dxT185_ABcItRzhCRk91ulwfT2j62TWvy3sbJtCxzLGSGJc4JV-oEXGLOSSaYJKdgRBEVsmCE0bPvB8oUpfwCjEJYI8QZZvISlKWrE9DWsHT9h93DaffufBtXG1j1NWxjgNNh6FpTxdb1MDoYVxYuh9huqg4-2z44D5-6ythNmnYFzpuqC_b6547B6938ZfaQLZb3j7PpIjNU4Jhxi7ihDcKEWoRrZhtOlRQibUQ1U7UgrLC1UMrKmhBUVISpN8aqwlDOJeN0DG6O3MG7z60NUa_d1vepUmPGKOEYSZVSs2PKeBeCt40efJrt9xojfZCqk1T9K1UnqTpJ1UmqTlL1QWqizI-U6Ks-RGtWf8r-wfkCeByHKQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1443261089</pqid></control><display><type>article</type><title>Modified Monkey Algorithm and its Application to the Optimal Sensor Placement</title><source>Scientific.net Journals</source><creator>Zhang, Xu Dong ; Li, Hong Nan ; Yi, Ting Hua</creator><creatorcontrib>Zhang, Xu Dong ; Li, Hong Nan ; Yi, Ting Hua</creatorcontrib><description>Optimal sensor placement (OSP) technique plays a key role in the structural health monitoring (SHM) of large-scale structures. In this paper, an optimal sensor placement (OSP) method based on a new intelligent algorithm, i.e., monkey algorithm (MA) is proposed. Considering the limitation of MA and the characteristics of OSP, the integer encoding to solve the location of the monkeys is proposed. The diversity of the monkeys is increased by introducing the hamming distance in the initial location, in order to improve the capacity of global search, and the random disturbance mechanism of the Harmony search is introduced in the process of climbing to improve the capacity of local search. Finally, taking the Dalian World Trade Building as an example, the OSP schemes are chosen. The numerical example demonstrated the feasibility and effectiveness of the proposed method.</description><identifier>ISSN: 1660-9336</identifier><identifier>ISSN: 1662-7482</identifier><identifier>ISBN: 3037854243</identifier><identifier>ISBN: 9783037854242</identifier><identifier>EISSN: 1662-7482</identifier><identifier>DOI: 10.4028/www.scientific.net/AMM.178-181.2699</identifier><language>eng</language><publisher>Zurich: Trans Tech Publications Ltd</publisher><ispartof>Applied Mechanics and Materials, 2012-05, Vol.178-181, p.2699-2702</ispartof><rights>2012 Trans Tech Publications Ltd</rights><rights>Copyright Trans Tech Publications Ltd. May 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c371t-6e06c3f0123e01d4ef6398776600d49d7245ed799e8d2205a249b44a5c3668463</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/1802?width=600</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Zhang, Xu Dong</creatorcontrib><creatorcontrib>Li, Hong Nan</creatorcontrib><creatorcontrib>Yi, Ting Hua</creatorcontrib><title>Modified Monkey Algorithm and its Application to the Optimal Sensor Placement</title><title>Applied Mechanics and Materials</title><description>Optimal sensor placement (OSP) technique plays a key role in the structural health monitoring (SHM) of large-scale structures. In this paper, an optimal sensor placement (OSP) method based on a new intelligent algorithm, i.e., monkey algorithm (MA) is proposed. Considering the limitation of MA and the characteristics of OSP, the integer encoding to solve the location of the monkeys is proposed. The diversity of the monkeys is increased by introducing the hamming distance in the initial location, in order to improve the capacity of global search, and the random disturbance mechanism of the Harmony search is introduced in the process of climbing to improve the capacity of local search. Finally, taking the Dalian World Trade Building as an example, the OSP schemes are chosen. The numerical example demonstrated the feasibility and effectiveness of the proposed method.</description><issn>1660-9336</issn><issn>1662-7482</issn><issn>1662-7482</issn><isbn>3037854243</isbn><isbn>9783037854242</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqVkEtLAzEUhYMP0Fb_Q8ClzDSvyWNZSn1AhwrqOoyZjJ06nYxJSum_N7WCbl3dxT185_ABcItRzhCRk91ulwfT2j62TWvy3sbJtCxzLGSGJc4JV-oEXGLOSSaYJKdgRBEVsmCE0bPvB8oUpfwCjEJYI8QZZvISlKWrE9DWsHT9h93DaffufBtXG1j1NWxjgNNh6FpTxdb1MDoYVxYuh9huqg4-2z44D5-6ythNmnYFzpuqC_b6547B6938ZfaQLZb3j7PpIjNU4Jhxi7ihDcKEWoRrZhtOlRQibUQ1U7UgrLC1UMrKmhBUVISpN8aqwlDOJeN0DG6O3MG7z60NUa_d1vepUmPGKOEYSZVSs2PKeBeCt40efJrt9xojfZCqk1T9K1UnqTpJ1UmqTlL1QWqizI-U6Ks-RGtWf8r-wfkCeByHKQ</recordid><startdate>20120501</startdate><enddate>20120501</enddate><creator>Zhang, Xu Dong</creator><creator>Li, Hong Nan</creator><creator>Yi, Ting Hua</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20120501</creationdate><title>Modified Monkey Algorithm and its Application to the Optimal Sensor Placement</title><author>Zhang, Xu Dong ; Li, Hong Nan ; Yi, Ting Hua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-6e06c3f0123e01d4ef6398776600d49d7245ed799e8d2205a249b44a5c3668463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Xu Dong</creatorcontrib><creatorcontrib>Li, Hong Nan</creatorcontrib><creatorcontrib>Yi, Ting Hua</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Continental Europe Database</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Applied Mechanics and Materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Xu Dong</au><au>Li, Hong Nan</au><au>Yi, Ting Hua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modified Monkey Algorithm and its Application to the Optimal Sensor Placement</atitle><jtitle>Applied Mechanics and Materials</jtitle><date>2012-05-01</date><risdate>2012</risdate><volume>178-181</volume><spage>2699</spage><epage>2702</epage><pages>2699-2702</pages><issn>1660-9336</issn><issn>1662-7482</issn><eissn>1662-7482</eissn><isbn>3037854243</isbn><isbn>9783037854242</isbn><abstract>Optimal sensor placement (OSP) technique plays a key role in the structural health monitoring (SHM) of large-scale structures. In this paper, an optimal sensor placement (OSP) method based on a new intelligent algorithm, i.e., monkey algorithm (MA) is proposed. Considering the limitation of MA and the characteristics of OSP, the integer encoding to solve the location of the monkeys is proposed. The diversity of the monkeys is increased by introducing the hamming distance in the initial location, in order to improve the capacity of global search, and the random disturbance mechanism of the Harmony search is introduced in the process of climbing to improve the capacity of local search. Finally, taking the Dalian World Trade Building as an example, the OSP schemes are chosen. The numerical example demonstrated the feasibility and effectiveness of the proposed method.</abstract><cop>Zurich</cop><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/AMM.178-181.2699</doi><tpages>4</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1660-9336 |
| ispartof | Applied Mechanics and Materials, 2012-05, Vol.178-181, p.2699-2702 |
| issn | 1660-9336 1662-7482 1662-7482 |
| language | eng |
| recordid | cdi_proquest_journals_1443261089 |
| source | Scientific.net Journals |
| title | Modified Monkey Algorithm and its Application to the Optimal Sensor Placement |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T11%3A18%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Modified%20Monkey%20Algorithm%20and%20its%20Application%20to%20the%20Optimal%20Sensor%20Placement&rft.jtitle=Applied%20Mechanics%20and%20Materials&rft.au=Zhang,%20Xu%20Dong&rft.date=2012-05-01&rft.volume=178-181&rft.spage=2699&rft.epage=2702&rft.pages=2699-2702&rft.issn=1660-9336&rft.eissn=1662-7482&rft.isbn=3037854243&rft.isbn_list=9783037854242&rft_id=info:doi/10.4028/www.scientific.net/AMM.178-181.2699&rft_dat=%3Cproquest_cross%3E3103696681%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1443261089&rft_id=info:pmid/&rfr_iscdi=true |