Title: An optimisation of higher education resources search method based on multi-state hierarchical model

Authors: Ping Li

Addresses: Department of Basic Education, Qingdao Vocational and Technical College of Hotel Management, Qingdao 266100, China

Abstract: In order to overcome the problems of low recall rate, precision rate and large search time consumption of traditional methods, optimisation of higher education resources search method based on multi-state hierarchical model is studied. This paper analyses the objective function of higher education resources search, sets the related constraint conditions, and selects the higher education resources search mode by ant colony algorithm. In order to further improve the search quality, the ant colony algorithm was improved by selecting ant colony species, determining communication subgroups, communication period and information exchange between subgroups. The algorithm was used to optimise the search mode, that is, resource stratified search. A multi-state hierarchical model is built to search higher education resources. Experimental results show that the recall rate of this method is always above 93%, the precision rate is above 92%, and the average search time consumption is 0.66 s.

Keywords: multi-state hierarchical model; higher education resources; search method optimisation; ant colony algorithm; heterogeneous multiple ant colony algorithm.

DOI: 10.1504/IJCEELL.2024.136993

International Journal of Continuing Engineering Education and Life-Long Learning, 2024 Vol.34 No.2/3, pp.179 - 193

Received: 09 Feb 2022
Accepted: 12 Jul 2022
Published online: 01 Mar 2024 *

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