In the context of digital design, the work aims to explore the algorithmic shape finding method based on structural performance, and use the Bi-Directional Evolutionary Structural Optimization (BESO) algorithm to carry out innovative design practice research. Based on the understanding of the basic connotation, theory, historical development and current application of the Bi-Directional Evolutionary Structural Optimization (BESO) algorithm, the advantages and feasibility of its algorithm generation were analyzed and a collaborative research was conducted on the generation strategy of geometric division, constraints, optimization techniques, structural simulation, material setting and iterative shape generation with the premise of the organization mode and shape generation principle of the algorithm, so as to provide multiple options for design opportunities and optimal results. A three-step innovative design practice based on initial morphology design, topology optimization design and post-processing and manufacturing by a Bi-Directional Evolutionary Structural Optimization algorithm was obtained. This design practice scheme verifies the feasibility of the design application of this algorithm generation method, and also provides new ideas and directions for the application of this algorithm in multiple fields.