DeciGenArch

DeciGenArch is part of ongoing research work in Generative engineering presented at the European conference on Computer aided design in Architecture at KU Leuven in Belgium

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