Title: Balanced allocation of teaching information resources based on discrete particle swarm optimisation algorithm

Authors: Hui Wang

Addresses: Faculty of Science, Xiangzhong Normal College for Preschool Education, Shaoyang, Hunan, China

Abstract: In order to overcome the problems of low resource utilisation, low resource coverage and long allocation time in traditional methods, a balanced allocation method of teaching information resources based on discrete particle swarm optimisation algorithm is proposed. Teaching information resources are collected and pre-processed through data cleaning, stop word removal and label processing. The objective function for balancing teaching information resources is constructed, and the discrete particle swarm optimisation algorithm solves the objective function by determining the encoding method, initialising the particle swarm, and calculating the fitness, etc. The optimal solution includes optimal resource weights, optimal resource allocation methods, optimal resource allocation proportions, etc. The obtained parameters are used to determine the optimal allocation scheme. Experimental results show that the utilisation rate of teaching information resources in this method can reach 99.8%, the coverage rate of teaching resources varies from 96.2% to 99.5%, the configuration time does not exceed 3.2 s.

Keywords: discrete particle swarm optimisation; teaching information resources; balanced allocation; optimal resource weights; allocation proportions.

DOI: 10.1504/IJCAT.2023.138840

International Journal of Computer Applications in Technology, 2023 Vol.73 No.4, pp.304 - 312

Received: 10 Aug 2023
Accepted: 15 Dec 2023
Published online: 31 May 2024 *

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