Abstract
This document studied the quality of news and entrepreneurial education of students based on a column algorithm. The current news and entrepreneurial education in college and universities refer to the education of culture and improvement of basic entrepreneurial quality and entrepreneurial capacity of students so that students can have the knowledge, ability and psychological quality required for entrepreneurial practice and adapt to the current social environment. Because of the current problems of innovation and entrepreneurship of college students, this document studies the application and advances of previous column algorithms in optimization problems, and uses algorithm of previous columns to solve the problems of innovation and entrepreneurship of college students. The main search content includes: the new ability of skills to improve continuously. It’s an effective new way to solve the problem of working well in the conduct of news and entrepreneurship of college students. This paper analyzes the current situation of news and entrepreneurship and shows that innovation and entrepreneurship education for college students is a complex project. Colleagues and universities need to coordinate forces in different fields within and outside schools, build a system of innovation and entrepreneurial education platform, and try a comprehensive and high-quality education system for innovation and entrepreneurial talents. Per la antaŭa kolonio forigas konduton, la baza principo de antaŭa kolonio-algoritmo estas eksplodita, la vojelekto, feromona liberigo kaj aktualiso de antaŭa kolonio-metodo estas analizita, kaj la avantaj de antaŭa kolonio-metodo por solvi tiujn problemojn estas resumita.
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Zhang, X. (2023). Research on the Quality Evaluation of College Students’ Innovation and Entrepreneurship Education Based on Ant Colony Algorithm. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-031-23947-2_44
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