This paper explores the application of cellular automata algorithm in the design of shopping malls as an advanced approach for generating architectural solutions. Using the algorithm, diverse variants of the mall layout were developed and analyzed in terms of their aesthetics, functionality, and economic sustainability. The focus was on identifying optimal solutions that effectively respond to the dynamic requirements of urban environments, with a particular emphasis on optimizing energy efficiency and enhancing user experience. The results demonstrate the significant potential of cellular automata as a tool for innovative shopping mall design, opening perspectives for further development of sustainable and adaptive urban spaces.