Allocation of Innovation and Entrepreneurship Resources for Architectural Design Majors in Colleges and Universities Based on PSO Algorithm
- DOI
- 10.2991/978-94-6463-040-4_18How to use a DOI?
- Keywords
- PSO algorithm; Innovative undertaking; The architectural design; Education resources; Optimizing the allocation of
- Abstract
Given the lack of innovative entrepreneurship education teaching resources configuration research, in order to make innovation in colleges and universities entrepreneurship education resource allocation rationalization, realize the maximization of the benefit evaluation index system of construction of education resources input and output, puts forward the education resource utilization efficiency and allocative efficiency of multi-objective function model, and by using PSO algorithm to realize the education resources optimization simulation and resource configuration model. This paper will start from the optimal allocation of innovation and entrepreneurship education resources in colleges and universities, and optimize the allocation of innovation and entrepreneurship education resources based on PSO algorithm design, so as to promote the development of innovation and entrepreneurship education in colleges and universities.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wenjun Xu PY - 2022 DA - 2022/12/27 TI - Allocation of Innovation and Entrepreneurship Resources for Architectural Design Majors in Colleges and Universities Based on PSO Algorithm BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 113 EP - 119 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_18 DO - 10.2991/978-94-6463-040-4_18 ID - Xu2022 ER -