Surveying design spaces with performance maps: A multivariate visualization method for parametric design and architectural design optimization. (March 2017)

• Record Type: Journal Article
• Authors: Wortmann, Thomas
• Is Part Of: International journal of architectural computing. Volume 15:Number 1(2017)
• Page Start: 38
• Page End: 53
• Publication Date: 2017-03
• Subjects: Fitness landscape -- design space exploration -- multivariate visualization -- optimization -- Star Coordinates; Architecture -- Data processing -- Periodicals; Architecture -- Informatique -- Périodiques; Virtual reality in architecture -- Periodicals; Computer-aided design -- Periodicals; Architecture -- Data processing; Periodicals; 720.2840285536
• DOI: 10.1177/1478077117691600
• Languages: English
• ISSNs: 1478-0771

Abstract

This article presents a method to visualize high-dimensional parametric design spaces with applications in computational design processes and interactive optimization. The method extends Star Coordinates using a triangulation-based interpolation with Barycentric Coordinates. It supports the understanding of design problems in architectural design optimization by allowing designers to move between a high-dimensional design space and a low-dimensional Performance Map. This Performance Map displays the characteristics of the fitness landscape, develops designers' intuitions about the relationships between design parameters and performance, allows designers to examine promising design variants, and delineates promising areas for further design exploration.