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Optimizing layout using spatial quality metrics and user preferences

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dc.contributor.author Bahrehmand, Arash
dc.contributor.author Batard, Thomas
dc.contributor.author Marques, Ricardo
dc.contributor.author Evans, Alun Thomas
dc.contributor.author Blat, Josep
dc.date.accessioned 2018-10-25T13:56:57Z
dc.date.available 2018-10-25T13:56:57Z
dc.date.issued 2017
dc.identifier.citation Bahrehmand A, Battard T, Marques R, Evans A, Blat J. Optimizing layout using spatial quality metrics and user preferences. Graph Models. 2017;93:25-38. DOI: 10.1016/j.gmod.2017.08.003
dc.identifier.issn 1524-0703
dc.identifier.uri http://hdl.handle.net/10230/35659
dc.description.abstract Computational design is one of the most common tasks of immersive computer graphics projects, such as games, virtual reality and special effects. Layout planning is a challenging phase of architectural design, which requires optimization across several conflicting criteria. We present an interactive layout solver that assists designers in layout planning by recommending personalized space arrangements based on architectural guidelines and user preferences. Initialized by the designers high-level requirements, an interactive evolutionary algorithm is used to converge on an ideal layout by exploring the space of potential solutions. The major contributions of our proposed approach are addressing subjective aspects of the design to generate personalized layouts; and the development of a genetic algorithm with a multi-parental recombination method that improves the chance of generating higher quality offspring. We demonstrate the ability of our method to generate feasible floor plans which are satisfactory, based on spatial quality metrics and designers taste. The results show that the presented framework can measurably decrease planning complexity by producing layouts which exhibit characteristics of human-made design.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof Graphical Models. 2017;93:25-38.
dc.rights © Elsevier https://doi.org/10.1016/j.gmod.2017.08.003
dc.title Optimizing layout using spatial quality metrics and user preferences
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1016/j.gmod.2017.08.003
dc.subject.keyword Layout planning
dc.subject.keyword Architectural modeling
dc.subject.keyword Genetic algorithm
dc.subject.keyword Personalization
dc.subject.keyword Interactive systems
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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