摘要
新能源风电的可持续发展需要可持续的人才支撑。而风电作为多学科交叉的新兴产业,其技术人才的培养和聚集周期长。因此,如何有效提升风电技术人才成长速度和质量至关重要。本文在对技术人才成长网络特征分析的基础上,利用成长代价函数量化标度不同成长状态关系,构建了风电技术人才加权小世界网络,并通过改进Floyd算法,优化风电技术人才成长路径选择。且通过仿真实验证明这种组合方法有效提高了计算速度和精度,降低了时间复杂度,为有效提升新能源风电技术人才成长速度与质量提供了量化方法支撑。
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.
作者
刘琳
杨文茵
黄琳华
LIU Lin;YANG Wen-yin;HUANG Lin-hua(North China Electric Power University,School of Economics and Management,Beijing 102206,China;Business School,Beijing Wuzi University,Beijing 101125,China;Information Technolgy Center of China Mobile Communications Group Co.,Ltd,Beijing 100037,China)
出处
《中国管理科学》
CSSCI
CSCD
北大核心
2020年第8期221-230,共10页
Chinese Journal of Management Science
基金
国家自然科学基金资助项目(71772060)。
关键词
风电技术人才
人才成长路径
WS加权小世界网络
改进型Floyd算法
wind power technical talents
optimal path of talents growth
WS weighted small-world network
improved Floyd algorithm
