Evolutionary algorithms for sustainable building design
Bukhari, Fakhri, Frazer, John H., & Drogemuller, Robin (2010) Evolutionary algorithms for sustainable building design. In Proceedings of the 2nd International Conference on Sustainable Architecture and Urban Development, CSAAR Press, Amman, Jordan, pp. 363-378.
This approach to sustainable design explores the possibility of creating an architectural design process which can iteratively produce optimised and sustainable design solutions. Driven by an evolution process based on genetic algorithms, the system allows the designer to “design the building design generator” rather than to “designs the building”. The design concept is abstracted into a digital design schema, which allows transfer of the human creative vision into the rational language of a computer. The schema is then elaborated into the use of genetic algorithms to evolve innovative, performative and sustainable design solutions. The prioritisation of the project’s constraints and the subsequent design solutions synthesised during design generation are expected to resolve most of the major conflicts in the evaluation and optimisation phases. Mosques are used as the example building typology to ground the research activity. The spatial organisations of various mosque typologies are graphically represented by adjacency constraints between spaces. Each configuration is represented by a planar graph which is then translated into a non-orthogonal dual graph and fed into the genetic algorithm system with fixed constraints and expected performance criteria set to govern evolution. The resultant Hierarchical Evolutionary Algorithmic Design System is developed by linking the evaluation process with environmental assessment tools to rank the candidate designs. The proposed system generates the concept, the seed, and the schema, and has environmental performance as one of the main criteria in driving optimisation.
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|Item Type:||Conference Paper|
|Keywords:||sustainable design, CAAD, conceptual design, generative design, evolutionary algorithm, genetic algorithm|
|Subjects:||Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > ARCHITECTURE (120100)
Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > ARCHITECTURE (120100) > Architectural Science and Technology (incl. Acoustics Lighting Structure and Ecologically Sustainable Design) (120104)
Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > ARCHITECTURE (120100) > Architectural Design (120101)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Design
|Copyright Owner:||Copyright 2010 [please consult the authors]|
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|Deposited On:||27 May 2010 21:26|
|Last Modified:||27 Feb 2015 01:17|
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