Interactive Architecture Design Model Based on Multi-objective Genetic Algorithm

Abstract

The development of digital technology acts on every change brought about by architectural interior design and affects the way users perceive and understand the design scheme. The rapid development of artificial intelligence and other technologies has made the application of virtual reality technology in interior design schemes began to emerge. Under the background of experience economy, this paper combines the value of sensory experience and thinking identification of commercial building interior space and integrates two important sensory experiences, interactive and participatory, into interior architectural design. Based on the multi-objective genetic algorithm, this paper collects and analyzes the user’s interactive experience in the realistic 3D virtualization scheme and collects and analyzes data such as effective behavior or behavior simulation feedback information. Effectiveness and forward-looking design. The use requirements of commercial indoor space influencing factors are analyzed, and based on this, it clarifies the direction for the research task of interaction design method. Multi-objective genetic algorithm is a way to understand and learn data. Cluster analysis is suitable for revealing the underlying distribution structure of data, and then classifying the data according to the mined structural information. The final results of the research show that the intentional consumption trends of clothing and food and food and beverages are relatively obvious, with 46 and 54 people, accounting for 32.56% and 37.88%, respectively. Catering is taken into consideration first.