Computational generation of a spatial layout through syntactical evaluation and multi-objective evolutionary optimization. (September 2022)

• Record Type: Journal Article
• Authors: Cicek, Selen; Turhan, Gozde Damla
• Other Names: Gómez Paula Z guest-editor.; Braida Frederico guest-editor.; Lima Fernando guest-editor.; Loyola Mauricio guest-editor.
• Is Part Of: International journal of architectural computing. Volume 20:Number 3(2022)
• Page Start: 610
• Page End: 629
• Publication Date: 2022-09
• Subjects: computational space layout -- space syntax -- spatial organization -- spatial network -- evolutionary algorithms; Architecture -- Data processing -- Periodicals; Architecture -- Informatique -- Périodiques; Virtual reality in architecture -- Periodicals; Computer-aided design -- Periodicals; Architecture -- Data processing; Periodicals; 720.2840285536
• DOI: 10.1177/14780771221120576
• Languages: English
• ISSNs: 1478-0771

Abstract

The space layout problem encompasses challenges that rely on a diverse range of contexts regarding urban planning and architectural design, during the traditional design phases which require immense effort and time for the evaluation of the spatial elements' characteristic needs. In order to eliminate the burden of considering all multidimensional design aspects at the same time, this research presents a three-bodied computational method for locating the spaces of the given architectural design program in a project site, according to the defined list of design objectives and criteria. Besides the determination of the layout according to the requirements of the spatial elements, this research proposes an integration of the space syntax theory's analytical compounds in terms of Justified Graph Analysis and Integration Values as the fitness criteria for the multi-objective evolutionary optimization in the computational model. To satisfy the integrity levels of each various characterized element within site organization, that are implied inherently by the architectural design program and generate a sustainable space network layout for the project site.