Abstract
During the previous decade, many of architectural design movements are based upon applying computer algorithms. Swarm intelligence represents one of these algorithms, but it is less common to architects. Swarm intelligence can be found in many examples in nature. Merging between computer sciences and swarm intelligence concept results in fruitful applications in architecture. Based on natural swarms of ants, birds, and fish, architects can have unpredictable ideas to achieve their design visions. Swarm intelligence can be applied in architecture in form finding, urban design, user’s circulations, structures, etc. In this research, three different methods for applying swarm intelligence in architectural design are proposed. The research will disclose to swarm applications in architectural design to find a guide for architectural designers. Through analyzing the swarm intelligence applications in architecture, different directions are proposed. These directions are classified as, achieving architectural requirements, self-learning architecture, and making process for generating design alternatives.
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Magdy, H., Eldaly, H. (2020). Applying Swarm Intelligence in Architectural Design. In: Kamel, S., et al. Architecture and Urbanism: A Smart Outlook. Springer, Cham. https://doi.org/10.1007/978-3-030-52584-2_6
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DOI: https://doi.org/10.1007/978-3-030-52584-2_6
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