DeciGenArch; A generative design methodology for participatory architectural configuration via multi-criteria decision analysis

Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe, Sep 2022, Ghent, Belgium

Authors: Aditya Soman, Shervin Azadi, Pirouz Nourian


Our approach to Generative Design converts the problems of design from the geometrical drawing of shapes in a continuous setting to topological decision making about spatial configurations in a discrete setting. The paper presents a comprehensive formulation of the zoning problem as a sub-problem of architectural 3D layout configurations. This formulation focuses on the problem of zoning as a location-allocation problem in the context of Operations Research. Specifically, we propose a methodology for solving this problem by combining a well-known Multi-Criteria Decision-Analysis (MCDA) method called ‘Technique for Order of Preference by Similarity to Ideal Solution’ (TOPSIS) with a Multi-Agent System (MAS) operating in a discrete design space