The pressures of rapid urbanization and climate change are severely affecting cities such as Lagos, Nigeria. Failures of modern construction practices to accommodate various impacts of local climate conditions as well as traditional construction techniques and materials are magnified by the bi-directional relationship between environmental challenges and economic conditions [1]. As seen in government-targeted squatter homes and slum communities, poor methodology for vernacular construction also emphasizes this interrelation. With the right application, the strengths of vernacular architecture—the result of hundreds of years of optimization—can be utilized to provide a comfortable shelter in a local climate using available materials and known construction technologies [2]. This thesis proposes a framework for designing and optimizing generated adaptations of colloquial bamboo screen systems for effective application in Lagos. The optimization framework developed employs computational design methods and tools as leverage to the complex challenge involving material technology, costs, and environmental performance factors. The framework is designed to be used for future externally prospected vernacular solutions of building components with the same implications in specific contexts. In this thesis, a proof-of-concept study is conducted employing genetic algorithms in the developed design program to accelerate the digital resolve. The framework is created to effectively inform stakeholders to embrace local traditions for contemporary energy goals by providing digestible means for rigorous quantitative and quantitative analysis. The results indicate that improved environmental performance and cost can be achieved by utilizing the developed generative optimization framework, creating scalable affordable vernacular solutions that increase comfort and quality of life in challenged communities.