Combined with multi-objective optimization algorithm of college art professional college students’ social practice nurturing function and realization way

Abstract

Abstract Participating in social practice can help guide young people to better realize the unity of knowledge and action, learning to use, in order to be able to “gain what it can’t”, so this paper on how to better realize the social practice of college students to explore. First of all, this paper comprehends the structure and mechanism of college students’ social practice and researches the function of social practice through the operation mechanism of college students’ social practice. Then, based on the goal of solving the problems existing in social practice, the problem of multi-objective optimization is proposed, and the NSGA-II algorithm is optimized by adding the NDX operator and adaptive adjustment of the variation operator so as to solve the multi-objective optimization problem. The proposal for achieving social practice is made from three aspects: curriculum, theme, and research. Finally, the performance of the algorithm, the effect of social practice, and the optimization effect of social practice are analyzed through empirical evidence and algorithmic experiments. The results show that the range of the offspring using the NDX operator is between −1.75 and 3, the maximum number of occurrences of the offspring individuals are all around 2500, and the best comprehensive performance of HV and IGD are 0.93 and 0.11, respectively. The gains of ideological and moral literacy, personal ability enhancement as well and the practice object before optimization are all within 4.5, and the enhancement of the three conditions after optimization is around 0.7.