Title: Modern training model of apprenticeship based on multi-objective optimisation algorithm for sustainable development of school-enterprise cooperation

Authors: Bo Yu

Addresses: Department of Economics and Management, Guangdong Open University (Guangdong Polytechnic Institute), Guangzhou, 510091, China

Abstract: With the transformation of vocational education talent training mode to 'modern apprenticeship', this study proposes a 'modern apprenticeship' talent training mode based on multi-objective optimisation algorithm under the sustainable development of school enterprise cooperation. First of all, a talent training model based on pyramid structure is constructed to allocate different talents to different tower floors. Then optimise the model, combined with external storage and fitness function, propose a multi-objective optimisation algorithm based on pyramid structure. Experiments on the algorithm model show that the solution of the improved algorithm model under the prediction function is more uniform and stable in the target space, and the convergence speed of the model is faster. Applying the optimised algorithm model to the individual promotion and function distribution of 'modern apprenticeship' talents under the school enterprise cooperation can further promote the development of modern apprenticeship and provide guarantee for enterprises to accurately transport high-quality talents.

Keywords: multi-objective; modern apprenticeship; talent training strategy; school-enterprise cooperation; sustainable development; talent structure; intelligent algorithm; Pareto optimal solution.

DOI: 10.1504/IJKBD.2023.133324

International Journal of Knowledge-Based Development, 2023 Vol.13 No.2/3/4, pp.164 - 180

Received: 08 Aug 2022
Accepted: 13 Sep 2022
Published online: 12 Sep 2023 *

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