Evaluation research on green degree of equipment manufacturing industry based on improved particle swarm optimisation algorithm

被引：0
|
作者：
Li Z. [1 ]
机构：
[1] School of Electronic Information Engineering, Rizhao Polytechnic, Rizhao, Shandong
来源：
Li, Zhang (66082036@qq.com) | 1600年 / Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Equipment manufacturing industry; Green degree; Improved particle swarm algorithm;
D O I：
10.1504/ijris.2020.109643
中图分类号：
学科分类号：
摘要：
In order to improve the sustainable development of equipment manufacturing industry, the improved particle swarm algorithm is applied in evaluating green degree of equipment manufacturing industry. Firstly, the green degree evaluation system of equipment manufacturing industry is constructed, and evaluation index system is established. Secondly, the basic theory of particle swarm algorithm and the improved particle swarm algorithm are studied basing on analysis of disadvantages of traditional particle swarm algorithm. Thirdly, the analysis procedure of improved particle swarm algorithm is designed. Finally, equipment manufacturing industry in a province is used as a researching object, the green degree evaluation of equipment manufacturing industry in this province is carried out, and results show that this algorithm can improve evaluation level of green degree of equipment manufacturing industry. © 2020 Inderscience Enterprises Ltd.
引用
收藏
页码：217 / 221
页数：4
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