Design of College Innovation and Entrepreneurship Experience System Based on PSO Algorithm

Innovation and entrepreneurship (INEN) are examples of knowledge-and-action-combining activities. College students’ ability to innovate and be entrepreneurially skilled depends on their existing entrepreneurial knowledge and experience. With the support and encouragement of national policies, the majority of college graduates have the confidence to launch their own businesses; yet, the success rate of college students’ inventiveness and entrepreneurship cannot be guaranteed. As a result, it is critical to create an INEN experience system as well as an algorithm to assess the efficiency of INEN resource allocation. This study examines the significance of experience learning in INEN before presenting the overall architecture of the experiential system. Finally, this work presents an enhanced particle swarm optimization (PSO) technique for evaluating colleges and universities’ INEN resources. According to the experimental findings, the proposed algorithm greatly lowers the assessment error of the system used to assess the creativity and entrepreneurial potential of college students, increases evaluation effectiveness, and has a wide variety of real-world applications. Experimental findings showed that the proposed DE-PSO hybrid algorithm outperformed conventional techniques such as the genetic algorithm (MAE: 0.19), PSO (MAE: 0.17), and differential evolution (DE) (MAE: 0.16). This lowered the mean absolute error (MAE) of the assessment system to 0.12. Additionally, the algorithm increased resource usage efficiency by an average of 20.04% at eight universities, with improvements of up to 45.19% at some institutions. The algorithm demonstrated high accuracy and computational efficiency, maintaining an average runtime of 4.2 s per iteration and reaching optimal convergence in 260 iterations. These results underscore the algorithm’s significant potential for real-world applications in resource optimization and educational assessment. Additionally, the system proposed in this study runs generally well, which benefits fostering innovative and entrepreneurial activity among college students.