Genetic Algorithm for Optimizing Supply Locations around Tower Crane
Site layout planning is a complicated issue because of the vast number of trades and interrelated planning constraints. To unfold its complexity, this paper aims to confine the study to a particularly defined area of construction: the structural concrete-frame construction stage of public housing pr...
Gespeichert in:
| Veröffentlicht in: | Journal of construction engineering and management 2001-08, Vol.127 (4), p.315-321 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 321 |
|---|---|
| container_issue | 4 |
| container_start_page | 315 |
| container_title | Journal of construction engineering and management |
| container_volume | 127 |
| creator | Tam, C. M Tong, Thomas K. L Chan, Wilson K. W |
| description | Site layout planning is a complicated issue because of the vast number of trades and interrelated planning constraints. To unfold its complexity, this paper aims to confine the study to a particularly defined area of construction: the structural concrete-frame construction stage of public housing projects. In this study, optimization of the tower crane and supply locations is targeted, as they are the major site facilities for high-rise building construction. A site layout genetic algorithm model is developed and a practical example is presented. The optimization results of the example are very promising and demonstrate the application value of the model. |
| doi_str_mv | 10.1061/(ASCE)0733-9364(2001)127:4(315) |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_26751189</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>26751189</sourcerecordid><originalsourceid>FETCH-LOGICAL-a409t-cf62b91add8083e2fabc3863ea51ee264f3bfd2cdee479c39db8858363bbfb733</originalsourceid><addsrcrecordid>eNp9kL1OwzAURi0EEqXwDhkQtEPAf3ESBqQqlAIq6gBIbJbj2GCUxsFOhODpcSggJrzcOxx9vt8B4BjBEwQZOp3M7or5FKaExDlhdIIhRFOE0zM6ISiZboERyimJ04zhbTD65XbBnvcvgaUsT0bgYqEa1RkZzeon60z3vI60ddGq7czafJjmKbrr27Z-j5ZWis7YxkfC2b6ponv7plxUONGofbCjRe3Vwfccg4fL-X1xFS9Xi-titowFhXkXS81wmSNRVRnMiMJalJJkjCiRIKUwo5qUusKyUoqmuSR5VWZZkhFGylKXocAYHG1yW2dfe-U7vjZeqroON9jec8zSBKEsD-D5BpTOeu-U5q0za-HeOYJ8sMf5YI8PVvhghQ_2eLDHKQ_2QsDh90_CS1Hr0FIa_yeFwSTYHYPHDRYoxV9s75rQn98U89sLCkMkTuHwhj3Efu3o54T_L_gEyQqI3Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>26751189</pqid></control><display><type>article</type><title>Genetic Algorithm for Optimizing Supply Locations around Tower Crane</title><source>American Society of Civil Engineers:NESLI2:Journals:2014</source><source>Business Source Complete</source><creator>Tam, C. M ; Tong, Thomas K. L ; Chan, Wilson K. W</creator><creatorcontrib>Tam, C. M ; Tong, Thomas K. L ; Chan, Wilson K. W</creatorcontrib><description>Site layout planning is a complicated issue because of the vast number of trades and interrelated planning constraints. To unfold its complexity, this paper aims to confine the study to a particularly defined area of construction: the structural concrete-frame construction stage of public housing projects. In this study, optimization of the tower crane and supply locations is targeted, as they are the major site facilities for high-rise building construction. A site layout genetic algorithm model is developed and a practical example is presented. The optimization results of the example are very promising and demonstrate the application value of the model.</description><identifier>ISSN: 0733-9364</identifier><identifier>EISSN: 1943-7862</identifier><identifier>DOI: 10.1061/(ASCE)0733-9364(2001)127:4(315)</identifier><identifier>CODEN: JCEMD4</identifier><language>eng</language><publisher>Reston, VA: American Society of Civil Engineers</publisher><subject>Applied sciences ; Buildings. Public works ; Construction works ; Exact sciences and technology ; Site organization ; TECHNICAL PAPERS</subject><ispartof>Journal of construction engineering and management, 2001-08, Vol.127 (4), p.315-321</ispartof><rights>2001 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a409t-cf62b91add8083e2fabc3863ea51ee264f3bfd2cdee479c39db8858363bbfb733</citedby><cites>FETCH-LOGICAL-a409t-cf62b91add8083e2fabc3863ea51ee264f3bfd2cdee479c39db8858363bbfb733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ascelibrary.org/doi/pdf/10.1061/(ASCE)0733-9364(2001)127:4(315)$$EPDF$$P50$$Gasce$$H</linktopdf><linktohtml>$$Uhttp://ascelibrary.org/doi/abs/10.1061/(ASCE)0733-9364(2001)127:4(315)$$EHTML$$P50$$Gasce$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,75942,75950</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1060594$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Tam, C. M</creatorcontrib><creatorcontrib>Tong, Thomas K. L</creatorcontrib><creatorcontrib>Chan, Wilson K. W</creatorcontrib><title>Genetic Algorithm for Optimizing Supply Locations around Tower Crane</title><title>Journal of construction engineering and management</title><description>Site layout planning is a complicated issue because of the vast number of trades and interrelated planning constraints. To unfold its complexity, this paper aims to confine the study to a particularly defined area of construction: the structural concrete-frame construction stage of public housing projects. In this study, optimization of the tower crane and supply locations is targeted, as they are the major site facilities for high-rise building construction. A site layout genetic algorithm model is developed and a practical example is presented. The optimization results of the example are very promising and demonstrate the application value of the model.</description><subject>Applied sciences</subject><subject>Buildings. Public works</subject><subject>Construction works</subject><subject>Exact sciences and technology</subject><subject>Site organization</subject><subject>TECHNICAL PAPERS</subject><issn>0733-9364</issn><issn>1943-7862</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNp9kL1OwzAURi0EEqXwDhkQtEPAf3ESBqQqlAIq6gBIbJbj2GCUxsFOhODpcSggJrzcOxx9vt8B4BjBEwQZOp3M7or5FKaExDlhdIIhRFOE0zM6ISiZboERyimJ04zhbTD65XbBnvcvgaUsT0bgYqEa1RkZzeon60z3vI60ddGq7czafJjmKbrr27Z-j5ZWis7YxkfC2b6ponv7plxUONGofbCjRe3Vwfccg4fL-X1xFS9Xi-titowFhXkXS81wmSNRVRnMiMJalJJkjCiRIKUwo5qUusKyUoqmuSR5VWZZkhFGylKXocAYHG1yW2dfe-U7vjZeqroON9jec8zSBKEsD-D5BpTOeu-U5q0za-HeOYJ8sMf5YI8PVvhghQ_2eLDHKQ_2QsDh90_CS1Hr0FIa_yeFwSTYHYPHDRYoxV9s75rQn98U89sLCkMkTuHwhj3Efu3o54T_L_gEyQqI3Q</recordid><startdate>20010801</startdate><enddate>20010801</enddate><creator>Tam, C. M</creator><creator>Tong, Thomas K. L</creator><creator>Chan, Wilson K. W</creator><general>American Society of Civil Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20010801</creationdate><title>Genetic Algorithm for Optimizing Supply Locations around Tower Crane</title><author>Tam, C. M ; Tong, Thomas K. L ; Chan, Wilson K. W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a409t-cf62b91add8083e2fabc3863ea51ee264f3bfd2cdee479c39db8858363bbfb733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Applied sciences</topic><topic>Buildings. Public works</topic><topic>Construction works</topic><topic>Exact sciences and technology</topic><topic>Site organization</topic><topic>TECHNICAL PAPERS</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tam, C. M</creatorcontrib><creatorcontrib>Tong, Thomas K. L</creatorcontrib><creatorcontrib>Chan, Wilson K. W</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of construction engineering and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tam, C. M</au><au>Tong, Thomas K. L</au><au>Chan, Wilson K. W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic Algorithm for Optimizing Supply Locations around Tower Crane</atitle><jtitle>Journal of construction engineering and management</jtitle><date>2001-08-01</date><risdate>2001</risdate><volume>127</volume><issue>4</issue><spage>315</spage><epage>321</epage><pages>315-321</pages><issn>0733-9364</issn><eissn>1943-7862</eissn><coden>JCEMD4</coden><abstract>Site layout planning is a complicated issue because of the vast number of trades and interrelated planning constraints. To unfold its complexity, this paper aims to confine the study to a particularly defined area of construction: the structural concrete-frame construction stage of public housing projects. In this study, optimization of the tower crane and supply locations is targeted, as they are the major site facilities for high-rise building construction. A site layout genetic algorithm model is developed and a practical example is presented. The optimization results of the example are very promising and demonstrate the application value of the model.</abstract><cop>Reston, VA</cop><pub>American Society of Civil Engineers</pub><doi>10.1061/(ASCE)0733-9364(2001)127:4(315)</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0733-9364 |
| ispartof | Journal of construction engineering and management, 2001-08, Vol.127 (4), p.315-321 |
| issn | 0733-9364 1943-7862 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_26751189 |
| source | American Society of Civil Engineers:NESLI2:Journals:2014; Business Source Complete |
| subjects | Applied sciences Buildings. Public works Construction works Exact sciences and technology Site organization TECHNICAL PAPERS |
| title | Genetic Algorithm for Optimizing Supply Locations around Tower Crane |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T16%3A33%3A40IST&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=Genetic%20Algorithm%20for%20Optimizing%20Supply%20Locations%20around%20Tower%20Crane&rft.jtitle=Journal%20of%20construction%20engineering%20and%20management&rft.au=Tam,%20C.%20M&rft.date=2001-08-01&rft.volume=127&rft.issue=4&rft.spage=315&rft.epage=321&rft.pages=315-321&rft.issn=0733-9364&rft.eissn=1943-7862&rft.coden=JCEMD4&rft_id=info:doi/10.1061/(ASCE)0733-9364(2001)127:4(315)&rft_dat=%3Cproquest_cross%3E26751189%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=26751189&rft_id=info:pmid/&rfr_iscdi=true |