文章基本信息

标题：Optimization Model of Higher Education Resources Allocation Based on Genetic Algorithm
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作者：Xilin ZHANG ; Shiming LI
期刊名称：Management Science and Engineering
印刷版ISSN：1913-0341
电子版ISSN：1913-035X
出版年度：2013
卷号：7
期号：3
页码：76-80
DOI：10.3968/j.mse.1913035X20130703.2622
语种：English
出版社：Canadian Research & Development Center of Sciences and Cultures
摘要：To solve the problem of the shortage of the higher education resources, the limited resources have to be allocated more efficiently and reasonably. In view of this point, the optimization allocation method of higher education resources is investigated in this paper. An optimization model of higher education resources allocation resources is designed according to the social contribution capability of higher education. And to achieve the optimal solution of the model, the resources allocation algorithm based on genetic algorithm is proposed. By this optimization model, the allocation of higher education resources can be optimized and the social contribution capability of higher can be improved. The proposed optimization model can provide a reference scheme to take full use of the limited higher education resources.
其他摘要：To solve the problem of the shortage of the higher education resources, the limited resources have to be allocated more efficiently and reasonably. In view of this point, the optimization allocation method of higher education resources is investigated in this paper. An optimization model of higher education resources allocation resources is designed according to the social contribution capability of higher education. And to achieve the optimal solution of the model, the resources allocation algorithm based on genetic algorithm is proposed. By this optimization model, the allocation of higher education resources can be optimized and the social contribution capability of higher can be improved. The proposed optimization model can provide a reference scheme to take full use of the limited higher education resources.
关键词：Higher education;Optimization model;Resources allocation;Genetic algorithm