An evolutionary algorithm for solving the geometrically constrained site layout problem
Construction site layout has been recognized as an important activity in construction site planning by field practitioners and researchers alike. This problem involves coordinating the use of limited space to accommodate temporary facilities (such as fabrication shops, trailers, materials or equipme...
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2017
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| Online Access: | http://hdl.handle.net/10725/5630 http://dx.doi.org/10.1061/40513(279)188 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ascelibrary.org/doi/pdf/10.1061/40513%28279%29188 |
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| _version_ | 1864513477415010304 |
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| author | Zouein, P. |
| author2 | Harmanani, H. Hajar, A. |
| author2_role | author author |
| author_facet | Zouein, P. Harmanani, H. Hajar, A. |
| author_role | author |
| dc.creator.none.fl_str_mv | Zouein, P. Harmanani, H. Hajar, A. |
| dc.date.none.fl_str_mv | 2017-05-10T08:35:07Z 2017-05-10T08:35:07Z 2017-05-10 |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10725/5630 http://dx.doi.org/10.1061/40513(279)188 Harmanani, H., Zouein, P., & Hajar, A. (2000). An evolutionary algorithm for solving the geometrically constrained site layout problem. In Computing in Civil and Building Engineering (2000) (pp. 1442-1449). http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ascelibrary.org/doi/pdf/10.1061/40513%28279%29188 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | ASCE |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | An evolutionary algorithm for solving the geometrically constrained site layout problem |
| dc.type.none.fl_str_mv | Conference Paper / Proceeding info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject |
| description | Construction site layout has been recognized as an important activity in construction site planning by field practitioners and researchers alike. This problem involves coordinating the use of limited space to accommodate temporary facilities (such as fabrication shops, trailers, materials or equipment) so that transportation costs of resources are minimized. The layout problem considered in this paper is a static layout problem characterized by affinity weights used to model transportation costs between facilities and by geometric constraints between relative positions of facilities on site. This paper presents an investigation of applying an evolutionary approach to optimally solve the aforementioned layout problem. The proposed algorithm is two-phases: an initialization phase that generates an initial population of layouts through a sequence of mutation operations, and a reproduction phase that evolve the layouts generated in phase one through a sequence of genetic operations aiming at finding an optimal layout. The paper concludes with a number of examples illustrating the strength and limitations of the proposed approach |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | LAURepo_52afb607440eb655c3df5a2512f3e103 |
| identifier_str_mv | Harmanani, H., Zouein, P., & Hajar, A. (2000). An evolutionary algorithm for solving the geometrically constrained site layout problem. In Computing in Civil and Building Engineering (2000) (pp. 1442-1449). |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/5630 |
| publishDate | 2017 |
| publisher.none.fl_str_mv | ASCE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | An evolutionary algorithm for solving the geometrically constrained site layout problemZouein, P.Harmanani, H.Hajar, A.Construction site layout has been recognized as an important activity in construction site planning by field practitioners and researchers alike. This problem involves coordinating the use of limited space to accommodate temporary facilities (such as fabrication shops, trailers, materials or equipment) so that transportation costs of resources are minimized. The layout problem considered in this paper is a static layout problem characterized by affinity weights used to model transportation costs between facilities and by geometric constraints between relative positions of facilities on site. This paper presents an investigation of applying an evolutionary approach to optimally solve the aforementioned layout problem. The proposed algorithm is two-phases: an initialization phase that generates an initial population of layouts through a sequence of mutation operations, and a reproduction phase that evolve the layouts generated in phase one through a sequence of genetic operations aiming at finding an optimal layout. The paper concludes with a number of examples illustrating the strength and limitations of the proposed approachN/AASCE2017-05-10T08:35:07Z2017-05-10T08:35:07Z2017-05-10Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10725/5630http://dx.doi.org/10.1061/40513(279)188Harmanani, H., Zouein, P., & Hajar, A. (2000). An evolutionary algorithm for solving the geometrically constrained site layout problem. In Computing in Civil and Building Engineering (2000) (pp. 1442-1449).http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://ascelibrary.org/doi/pdf/10.1061/40513%28279%29188eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/56302021-03-19T10:00:54Z |
| spellingShingle | An evolutionary algorithm for solving the geometrically constrained site layout problem Zouein, P. |
| status_str | publishedVersion |
| title | An evolutionary algorithm for solving the geometrically constrained site layout problem |
| title_full | An evolutionary algorithm for solving the geometrically constrained site layout problem |
| title_fullStr | An evolutionary algorithm for solving the geometrically constrained site layout problem |
| title_full_unstemmed | An evolutionary algorithm for solving the geometrically constrained site layout problem |
| title_short | An evolutionary algorithm for solving the geometrically constrained site layout problem |
| title_sort | An evolutionary algorithm for solving the geometrically constrained site layout problem |
| url | http://hdl.handle.net/10725/5630 http://dx.doi.org/10.1061/40513(279)188 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ascelibrary.org/doi/pdf/10.1061/40513%28279%29188 |