Multiobjective Optimization Model of Quality Education Reform in Research and Learning Activities

Author:

Liu Yonglang12,Zhang Jitao2,Ding Sanqing1ORCID

Affiliation:

1. School of Public Policy and Management School of Emergency Management, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China

2. Jiangxi University of Technology, Nanchang 330098, Jiangxi, China

Abstract

In order to solve the problem of quality education reform in research activities, a multiobjective optimization model for the optimal performance distribution of college teachers is proposed. We mainly use the multiobjective optimization method to study the allocation of optimal performance. On the basis of considering individual differences, a multiobjective optimization model is established with the goal of maximizing the total satisfaction of all assessment objects and balancing the satisfaction as much as possible by introducing the score conversion function and the satisfaction function. The results show that the variation trends of the weak Pareto fronts at five different confidence levels are basically the same; that is, different confidence levels have little effect on the results. Conclusion. The use of a multiobjective optimization model can improve the optimal performance distribution of college teachers, so as to effectively promote the reform of quality education in research activities.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

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