This study presents the construction and optimization of a decision-making model using adaptive evolutionary algorithms for students selecting private colleges and universities in Anhui Province. The research integrates a comprehensive dataset, encompassing academic program information, geographical preferences, financial constraints, and personal aspirations, to develop a personalized decision support system. Results reveal the significance of program quality, geographical preferences, financial considerations, and career goals in students' choices. The adaptive evolutionary algorithm-based model demonstrates high accuracy and adaptability during validation. The study offers practical insights for institutions to tailor their offerings and informs prospective students' decision-making processes, enhancing the transparency and objectivity of college and university selection.