新能源风电技术人才成长最优路径研究

doi:10.16381/j.cnki.issn1003-207x.2020.08.020

Abstract

Abstract: The sustainable development of talents is necessary for the development of wind power.As a multidisciplinary emerging industry, the training and accumulation of Wind power Technical talents takes a very long time period.Therefore, how to effectively improve the speed and quality of wind power talentsgrowth is essential.Based on the analysis of the characteristics of the growth network of technical talents, the relationship between different growth states of the quantified scale of growth cost function and a model of wind power talents growth are proposed, and then the improved Floyd algorithm is used to find the optimal path of wind power talents growth according to the transfer cost function.Finally, Through the simulation experiment verifies that this method can effectively improve the speed and accuracy of calculation and reduce the time complexity. It provides a quantitative method to support the growth speed and quality of new energy wind power talents.

Key words: wind power technical talents, optimal path of talents growth, WS weighted small-world network, improved Floyd algorithm

CLC Number:

C939

LIU Lin, YANG Wen-yin, HUANG Lin-hua. Research on Growth Optimal Path For Wind Power Technical Talents[J]. Chinese Journal of Management Science, 2020, 28(8): 221-230.

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Research on Growth Optimal Path For Wind Power Technical Talents

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