Modern training model of apprenticeship based on multi-objective optimisation algorithm for sustainable development of school-enterprise cooperation
by Bo Yu
International Journal of Knowledge-Based Development (IJKBD), Vol. 13, No. 2/3/4, 2023

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.

Online publication date: Tue, 12-Sep-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge-Based Development (IJKBD):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com