Balanced Allocation of Educational Resources Based on Parallel Genetic Algorithm

Higher education is one of the scarcest social resources, with high demand and low supply, and higher education is currently in limited supply in our country, making it difficult to resolve this contradiction. In addition to increasing investment in higher education as much as possible, the most imp...

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Vydané v:Mathematical problems in engineering Ročník 2022; s. 1 - 8
Hlavný autor: Qiu, Ming
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Hindawi 27.04.2022
John Wiley & Sons, Inc
Predmet:
Data envelopment analysis
Economic development
Education
Efficiency
Entrepreneurs
Entrepreneurship
Entrepreneurship education
Genetic algorithms
Higher education
Innovations
Learning
Linear programming
Multiple objective analysis
Optimization
Particle swarm optimization
Research methodology
Resource allocation
Resource utilization
Society
Students
Teaching
ISSN:1024-123X, 1563-5147
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Shrnutí:Higher education is one of the scarcest social resources, with high demand and low supply, and higher education is currently in limited supply in our country, making it difficult to resolve this contradiction. In addition to increasing investment in higher education as much as possible, the most important thing is to maximize the benefits of education through the rational allocation of resources. An evaluation index system of educational resource input-output was constructed, and a multiobjective function model of educational resource utilization efficiency and allocation efficiency was proposed. We should rationalize the allocation of resources and maximize the benefits of innovation and entrepreneurship education in colleges and universities. By combining particle swarm optimization with genetic algorithm, we can simulate and solve the model. The simulation results suggest that by optimizing the usage and allocation efficiency of innovation, it may be increased. College and university entrepreneurship education resources have increased by 18.72 percent and 20.98 percent, respectively, on average, and tend to be in a balanced state, which can realize the optimization of education resources allocation.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1024-123X
1563-5147
DOI:10.1155/2022/7517267