A Resource Allocation Scheme Based on Least Squares Support Vector Machine and Particle Swarm Optimization Algorithm

Jiayu Zhao; Quanzhu Yao; Rong Fei; Kun Liang; Zhanmin Wang

doi:10.1109/aiam48774.2019.00057

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A Resource Allocation Scheme Based on Least Squares Support Vector Machine and Particle Swarm Optimization Algorithm

Jiayu Zhao Quanzhu Yao Rong Fei Kun Liang Zhanmin Wang

Year: 2019 Pages: 250-255

DOI: 10.1109/aiam48774.2019.00057

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Abstract

In this paper, a classification evaluation model is designed by least squares support vector machine (LS-SVM). And then, the particle swarm optimization algorithm (PSO) is used to construct the resource allocation scheme. Finally, we solve a reasonable resource development problem according to the existing school evaluation standards. This paper takes the schools in Xi'an as an example to expound the present situation of basic resource allocation in schools.

Keywords:

Particle swarm optimization Resource allocation Support vector machine Construct (python library) Computer science Scheme (mathematics) Least squares support vector machine Resource (disambiguation) Mathematical optimization Algorithm Least-squares function approximation Artificial intelligence Mathematics

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Evaluation Methods in Various Fields

Physical Sciences → Environmental Science → Ecological Modeling

Advanced Decision-Making Techniques

Physical Sciences → Computer Science → Information Systems

Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

A Resource Allocation Scheme Based on Least Squares Support Vector Machine and Particle Swarm Optimization Algorithm

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