Design Exploration by Using a Genetic Algorithm and the Theory of Inventive Problem Solving (TRIZ)
Sponsor
Hydra Lab at the University of Michigan, Taubman College of Architecture and Urban Planning
Published In
Automation in Construction
Document Type
Citation
Publication Date
9-1-2022
Abstract
This paper presents a computational design exploration method called GA+TRIZ, which aids designers in defining the design problem clearly, making a parametric model where pertinent variables are included, obtaining a series of suitable solutions, and resolving existing conflicts among design objectives. The goal is to include the designer's qualitative and performance-based quantitative design goals in the design process, while promoting innovative ideas for resolving contradictory design objectives. The method employed is a Genetic Algorithm (GA), earlier implemented in an automated design exploration process called ParaGen, in combination with the Theory of Inventive Problem Solving (TRIZ), a novel methodology to assist architects and structural engineers in the conceptual phase of design. The GA+TRIZ method promotes automated design exploration, investigation of unexpected solutions, and continuous interaction with the computational generating system. Finally, this paper presents two examples that illustrate how the GA+TRIZ method assists designers in problem structuring, design exploration, and decision-making.
Rights
© 2022 Elsevier
Locate the Document
DOI
10.1016/j.autcon.2022.104354
Persistent Identifier
https://archives.pdx.edu/ds/psu/38164
Citation Details
Khodadadi, A., & von Buelow, P. (2022). Design exploration by using a genetic algorithm and the Theory of Inventive Problem Solving (TRIZ). Automation in Construction, 141, 104354.