Evolving Commons
This project explores a multi-objective optimization (MOO) workflow to inform the early-stage design of a community hub.
Guided by diverse stakeholder needs, the process defined three primary goals: maximizing usable floor area, enhancing building sunlight exposure, and increasing spatial diversity. Parametric modeling and performance-based simulations guided the generation and evaluation of over 200 design iterations. Six optimal solutions were identified through quantitative analysis, with final selections refined through an iterative visualization process to explore spatial qualities and design expression. The project demonstrates how optimization and data-informed methods can enrich design exploration and support adaptive, responsive architectural outcomes.
