A framework to integrate generative design techniques for enhancing design automation

Ning Gu, Vishal Singh, Kathryn Merrick

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


This paper presents and demonstrates a computational framework that facilitates the integration of different generative design techniques to enhance design automation. The framework is based on the evaluation and comparison of four main generative design algorithms. Effectiveness of the framework is demonstrated through an example scenario. Compared to most existing generative design systems that are based on one of the techniques, which often bias the generative design process in a certain direction, new generative design systems by applying the proposed framework will provide the trigger at each stage as demonstrated in the example scenario for the designer to perceive the emergent designs from different viewpoints. This advantage will enhance design generation and automation by assisting the designer in making more informed decisions in understanding and selecting the suitable generative techniques for different design needs.
Original languageEnglish
Title of host publicationProc. of CAADRIA ‘10, 15th International Computer Aided Architectural Design Research Conference
Publication statusPublished - 2010
MoE publication typeA4 Article in a conference publication

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