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IASS 2016 Tokyo Symposium: Spatial Structures in the 21st Century


IASS Symposium 2016

SESSION: Computational Methods

Alternative means of navigating parameter spaces

< Table of Contents for Computational Methods
  • Proceedings Name: IASS 2016 Tokyo Symposium: Spatial Structures in the 21st Century
  • ISSN: (Electronic Version) 2518-6582
  • Session: Computational Methods
  • Pages: 10
  • Title: Alternative means of navigating parameter spaces
  • Author(s): Max Marschall, Saqib Aziz, Christoph Gengnagel
  • Keywords: parameter space, self-organizing map, optimization, large-scale design, virtual reality, interactive evolutionary computation, digital tooling, stadium
Abstract
Generative design processes are characterized by modifications of a design model's parameters with the aim of improving its quality. The entirety of possible parameter combinations in a given design scenario is referred to as parameter space, in which each parameter represents a dimension. The efficacy of a design process could be measured by the quality of the final design found in the vastness of a multidimensional parameter space, as well as by the time needed to arrive at this solution. In this paper we propose a novel method aimed at increasing this efficacy. Our approach of self-organized fitness landscapes (SOFL) facilitates the convergence towards optimized design trade-offs between numeric and subjective criteria. This is achieved by visualizing subdomains of the parameter space comprehensibly, while still leaving architectural quality assessment to the designer. This paper describes our method's applicability in architecture based on a case study in stadium design.

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