Optimal allocation of innovation and entrepreneurship education resources for local normal education majors based on PSO algorithm

Mingxin Qin; Yanan Yang

doi:10.1117/12.2671451

1 June 2023 Optimal allocation of innovation and entrepreneurship education resources for local normal education majors based on PSO algorithm

Mingxin Qin, Yanan Yang

Author Affiliations +

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126252Z (2023) https://doi.org/10.1117/12.2671451
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

Under the background of modern education innovation, in order to ensure the university innovation entrepreneurship education resources get reasonable configuration, practice application to maximize benefits, the current research scholars to build the education resources input and output of the evaluation index system, and proposed the corresponding function model, need to use particle swarm optimization algorithm for the simulation analysis. The final experimental results show that the allocation analysis using particle swarm optimization algorithm can further improve the application efficiency of innovation and entrepreneurship education resources in colleges and universities, ensure the results of resource allocation, and provide an effective basis for the innovation of modern college education.

Citation Download Citation

Mingxin Qin and Yanan Yang "Optimal allocation of innovation and entrepreneurship education resources for local normal education majors based on PSO algorithm", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126252Z (1 June 2023); https://doi.org/10.1117/12.2671451

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available