Journal of Bionic Engineering (2025) 22:1484–1505https://doi.org/10.1007/s42235-025-00684-x

Interpersonal Sensitivity Prediction Based on Multi-strategy Artemisinin Optimization with Fuzzy K-Nearest Neighbor 

Yiguo Tian1  · Xiao Pan2  · Xinsen Zhou3  · Lei Liu4  · Da Wei5

1 College of Computer Science and Technology, Changchun Normal University, Changchun 130032, China 

2 Faculty of Culture and Media, Changchun College of Electronic Technology, Changchun 130114, China 

3 Department of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou 325035, China 

4 College of Computer Science, Sichuan University, Chengdu 610065, China 

5 Wenzhou Data Service Center, Wenzhou 325000, China

Abstract 

The mental health issues of college students have become an increasingly prominent social problem, exerting severe impacts on their academic performance and overall well-being. Early identification of Interpersonal Sensitivity (IS) in students serves as an effective approach to detect psychological problems and provide timely intervention. In this study, 958 freshmen from higher education institutions in Zhejiang Province were selected as participants. We proposed a Multi-Strategy Artemisinin Optimization (MSAO) algorithm by enhancing the Artemisinin Optimization (AO) framework through the integration of a group-guided elimination strategy and a two-stage consolidation strategy. Subsequently, the MSAO was combined with the Fuzzy K-Nearest Neighbor (FKNN) classifier to develop the bMSAO-FKNN predictive model for assessing college students’ IS. The proposed algorithm’s efficacy was validated through the CEC 2017 benchmark test suite, while the model’s performance was evaluated on the IS dataset, achieving an accuracy rate of 97.81%. These findings demonstrate that the bMSAO-FKNN model not only ensures high predictive accuracy but also offers interpretability for IS prediction, making it a valuable tool for mental health monitoring in academic settings. 

Keywords Interpersonal sensitivity · Feature selection · Metaheuristic algorithm · Artemisinin optimization