Study on Industrial Structure Optimization of Shaanxi Province Based on Improved Genetic Algorithm

DOI

10.2991/emle-16.2017.10How to use a DOI?

Keywords

gray system; Genetic Algorithm; industrial structure; optimization model

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qunwei Wang
AU  - Gangqiang Zha
AU  - Shouzhi Xi
PY  - 2016/12
DA  - 2016/12
TI  - Study on Industrial Structure Optimization of Shaanxi Province Based on Improved Genetic Algorithm
BT  - Proceedings of the 2016 2nd International Conference on Economy, Management, Law and Education (EMLE 2016)
PB  - Atlantis Press
SP  - 49
EP  - 53
SN  - 2352-5428
UR  - https://doi.org/10.2991/emle-16.2017.10
DO  - 10.2991/emle-16.2017.10
ID  - Wang2016/12
ER  -