In recent years, the complexity of architecture and urban design has increased due to the growing need to address environmental, social, and economic factors simultaneously. Designers often produce a limited number of solutions within tight time frames, addressing some issues while neglecting others. Evolutionary algorithms (EAs), a subset of artificial intelligence (AI), have emerged as powerful tools that can revolutionize how we approach urban design and architecture. While these algorithms are commonly used for optimization and problem-solving, their ability to inspire and generate innovative design solutions should be noted. Therefore, this research aims to bridge the gap between theory and practice by developing a framework that enables designers to utilize EAs as a creative tool in the early design process of urban design and architecture.
