Form Follows Data: Algorithmic Optimization in Architecture
Architecture is often defined by conflicting objectives. This research develops a Multi-Objective Optimization (MOO) workflow with custom computational proxies for environmental performance, enabling objective evaluation of design alternatives and demonstrating how algorithmic optimization can lead to more informed, high-performing architectural outcomes.
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PUBLISHED ON 13th July 2026
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A rigorous and original exploration of data-driven architecture, with a strong connection between computational research and design development.
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