Study on Industrial Structure Optimization of Shaanxi Province Based on Improved Genetic Algorithm
The adjustment and optimization of industrial structure are hot and difficult topics nowadays. In this paper, the improved Genetic Algorithm has been proposed to obtain the optimal value of multivariate function and that has been used to investigate the model of current industrial structure in Shaanxi Province. The results show that further optimization is needed for the current industrial structure adjustments in Shaanxi Province. After optimization, the industrial structure is more reasonable, the output scale is larger and second industry increase faster. The direction of recent adjustment of industrial structure in Shaanxi Province has also been guided by the improved Genetic Algorithm. It suggested that we should mainly develop the second industry, accelerate the development of tertiary industry and make development of the primary industry stably.
gray system Genetic Algorithm industrial structure optimization model
Qunwei Wang Gangqiang Zha Shouzhi Xi
School of Automation Northwestern Polytechnical University Xi’an, China, 710072
国际会议
俄罗斯 莫斯科
英文
49-53
2016-12-15（万方平台首次上网日期，不代表论文的发表时间）