University performance evaluation system based on particle swarm optimization

Wenyuan Ji

doi:10.1117/12.2653223

20 October 2022 University performance evaluation system based on particle swarm optimization

Wenyuan Ji

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 123501D (2022) https://doi.org/10.1117/12.2653223
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

The construction of colleges and universities needs a set of scientific and reasonable performance appraisal schemes that can promote personnel training. In the field of education, the performance appraisal system is not yet mature, and the performance appraisal of colleges and universities needs to be further studied and improved. In this paper, the integer coding method is used to establish a suitable mapping relationship between the position of particles in the search space and the solution to the environmental economic scheduling problem. An effective constraint handling method for equality constraints is used to quickly adjust the infeasible solution of the environmental and economic dispatch problem. The fuzzy set theory is introduced to extract the compromise solution of the environmental economic dispatch problem. Through the simulation comparison with other algorithms, the effectiveness of the proposed algorithm in solving the EED problem is verified. The research results of this paper can achieve a scientific and reasonable performance appraisal. In the actual implementation, it can stimulate the maximum potential and value of teachers, and ultimately promote the realization of school organizational goals.

Citation Download Citation

Wenyuan Ji "University performance evaluation system based on particle swarm optimization", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 123501D (20 October 2022); https://doi.org/10.1117/12.2653223

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KEYWORDS

Feature selection

Data modeling

Analytical research

Particle swarm optimization

Single photon emission computed tomography

Particles

Glasses

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