Evolutionary optimization technique for site layout planning

Handle URI:
http://hdl.handle.net/10754/563376
Title:
Evolutionary optimization technique for site layout planning
Authors:
El Ansary, Ayman M.; Shalaby, Mohamed
Abstract:
Solving the site layout planning problem is a challenging task. It requires an iterative approach to satisfy design requirements (e.g. energy efficiency, skyview, daylight, roads network, visual privacy, and clear access to favorite views). These design requirements vary from one project to another based on location and client preferences. In the Gulf region, the most important socio-cultural factor is the visual privacy in indoor space. Hence, most of the residential houses in this region are surrounded by high fences to provide privacy, which has a direct impact on other requirements (e.g. daylight and direction to a favorite view). This paper introduces a novel technique to optimally locate and orient residential buildings to satisfy a set of design requirements. The developed technique is based on genetic algorithm which explores the search space for possible solutions. This study considers two dimensional site planning problems. However, it can be extended to solve three dimensional cases. A case study is presented to demonstrate the efficiency of this technique in solving the site layout planning of simple residential dwellings. © 2013 Elsevier B.V. All rights reserved.
KAUST Department:
Visual Computing Center (VCC)
Publisher:
Elsevier BV
Journal:
Sustainable Cities and Society
Issue Date:
Feb-2014
DOI:
10.1016/j.scs.2013.11.008
Type:
Article
ISSN:
22106707
Appears in Collections:
Articles; Visual Computing Center (VCC)

Full metadata record

DC FieldValue Language
dc.contributor.authorEl Ansary, Ayman M.en
dc.contributor.authorShalaby, Mohameden
dc.date.accessioned2015-08-03T11:47:02Zen
dc.date.available2015-08-03T11:47:02Zen
dc.date.issued2014-02en
dc.identifier.issn22106707en
dc.identifier.doi10.1016/j.scs.2013.11.008en
dc.identifier.urihttp://hdl.handle.net/10754/563376en
dc.description.abstractSolving the site layout planning problem is a challenging task. It requires an iterative approach to satisfy design requirements (e.g. energy efficiency, skyview, daylight, roads network, visual privacy, and clear access to favorite views). These design requirements vary from one project to another based on location and client preferences. In the Gulf region, the most important socio-cultural factor is the visual privacy in indoor space. Hence, most of the residential houses in this region are surrounded by high fences to provide privacy, which has a direct impact on other requirements (e.g. daylight and direction to a favorite view). This paper introduces a novel technique to optimally locate and orient residential buildings to satisfy a set of design requirements. The developed technique is based on genetic algorithm which explores the search space for possible solutions. This study considers two dimensional site planning problems. However, it can be extended to solve three dimensional cases. A case study is presented to demonstrate the efficiency of this technique in solving the site layout planning of simple residential dwellings. © 2013 Elsevier B.V. All rights reserved.en
dc.publisherElsevier BVen
dc.subjectDaylighten
dc.subjectGenetic algorithmen
dc.subjectPrivacyen
dc.subjectSite planningen
dc.titleEvolutionary optimization technique for site layout planningen
dc.typeArticleen
dc.contributor.departmentVisual Computing Center (VCC)en
dc.identifier.journalSustainable Cities and Societyen
dc.contributor.institutionDepartment of Civil and Environmental Engineering, Western University, London, ON N6A 5B9, Canadaen
kaust.authorShalaby, Mohameden
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