A Method for Predicting the Effect of Internet$+$Dual-Creation Practice of College Students Based on Evolutionary Algorithm

In order to improve the prediction accuracy of college students’ Internet+mass entrepreneurship and innovation practice effect, a prediction method based on an evolutionary algorithm is proposed. By comprehensively considering the family, school, personal, and social backgrounds of college students, a comprehensive evaluation index is constructed, and an objective function is set to minimize the distance between the questionnaire weight and the ideal weight. To avoid the evolutionary algorithm getting stuck in local optima, a simulated annealing strategy is introduced to optimize the mutation process, enhancing the algorithm’s performance. Experimental verification shows that this method not only selects evaluation indicators accurately and has high prediction accuracy, but also has a fast solving speed. It has been successfully applied in multiple universities, providing an effective tool for evaluating and improving the effectiveness of college students’ entrepreneurship and innovation practices.