This project focuses on utilizing evolutionary optimization algorithms to address urban revitalization challenges at the U.S.-Mexico border. The goal was to design adaptable urban interventions that respond to shifting environmental and programmatic conditions. By leveraging parametric tools like Grasshopper and integrating evolutionary algorithms, the project explores generative design strategies that allow for dynamic form-finding and spatial planning. The workflow involved creating and refining algorithmic models that simulated adaptive urban scenarios, optimizing factors such as spatial organization, programmatic proximity, and accessibility.
Key technical tools included Grasshopper for parametric modeling and evolutionary solvers like Galapagos for multi-criteria optimization. This approach resulted in adaptive design solutions aimed at enhancing urban spaces' flexibility and resilience in a rapidly changing context
