Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/27167
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dc.contributor.authorRodrigues, Eugénio-
dc.contributor.authorGaspar, Adélio Rodrigues-
dc.contributor.authorGomes, Álvaro-
dc.date.accessioned2014-10-01T10:33:36Z-
dc.date.available2014-10-01T10:33:36Z-
dc.date.issued2013-05-
dc.identifier.citationRODRIGUES, Eugénio; GASPAR, Adélio Rodrigues; GOMES, Álvaro - An evolutionary strategy enhanced with a local search technique for the space allocation problem in architecture, Part 1: methodology. "Computer-Aided Design". ISSN 0010-4485. Vol. 45 Nº. 5 (2013) p. 887-897por
dc.identifier.issn0010-4485-
dc.identifier.urihttp://hdl.handle.net/10316/27167-
dc.description.abstractThe drafting of floor plans is mostly hand made in today’s architectural design process. The use of computerized floor planning techniques may enhance the practitioner’s range of solutions and expedite the design process. However, despite the research work that has been carried out, the results obtained from these techniques do not convince many practitioners to accept them as part of their design methods. The existing literature shows that every research approach is different in the way in which architectural space planning is tackled. Consequently, each approach tends to be too specific or too abstract. The Space Allocation Problem in architecture may be stated as the process of determining the position and size of several rooms and openings according to the user’s specified design program requirements, and topological and geometric constraints in a two-dimensional space. This is the first part of a paper that describes an enhanced hybrid evolutionary computation scheme that couples an Evolutionary Strategy (ES) with a Stochastic Hill Climbing (SHC) technique to generate a set of floor plans to be used in the early design stages of architectural practice. It presents the mathematical model with the problem statement and how the individuals’ fitness is computed, the implemented methodological approach, how the adaptive operators are implemented, the summary of the overall procedure, and conclusions.por
dc.language.isoengpor
dc.publisherElsevierpor
dc.rightsopenAccesspor
dc.subjectEvolutionary strategypor
dc.subjectStochastic hill climbingpor
dc.subjectSpace allocation problempor
dc.subjectSpace planningpor
dc.titleAn evolutionary strategy enhanced with a local search technique for the space allocation problem in architecture, Part 1: methodologypor
dc.typearticlepor
degois.publication.firstPage887por
degois.publication.lastPage897por
degois.publication.issue5por
degois.publication.titleComputer-Aided Designpor
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0010448513000031por
dc.peerreviewedYespor
dc.identifier.doi10.1016/j.cad.2013.01.001-
degois.publication.volume45por
item.grantfulltextopen-
item.fulltextCom Texto completo-
item.languageiso639-1en-
crisitem.author.deptFaculty of Sciences and Technology-
crisitem.author.deptFaculty of Sciences and Technology-
crisitem.author.deptFaculty of Sciences and Technology-
crisitem.author.parentdeptUniversity of Coimbra-
crisitem.author.parentdeptUniversity of Coimbra-
crisitem.author.parentdeptUniversity of Coimbra-
crisitem.author.researchunitADAI - Association for the Development of Industrial Aerodynamics-
crisitem.author.researchunitADAI - Association for the Development of Industrial Aerodynamics-
crisitem.author.researchunitINESC Coimbra – Institute for Systems Engineering and Computers at Coimbra-
crisitem.author.orcid0000-0001-7023-4484-
crisitem.author.orcid0000-0001-6947-4579-
crisitem.author.orcid0000-0003-1229-6243-
Appears in Collections:FCTUC Eng.Electrotécnica - Artigos em Revistas Internacionais
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