首页> 外文期刊>Chaos, Solitons and Fractals: Applications in Science and Engineering: An Interdisciplinary Journal of Nonlinear Science >Evaluation research on green degree of equipment manufacturing industry based on improved particle swarm optimization algorithm
【24h】

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

机译:基于改进粒子群优化算法的设备制造业绿度评价研究

获取原文
获取原文并翻译 | 示例
           

摘要

The paper constructs the green degree evaluation system of equipment manufacturing industry, and then the improved particle swarm optimization algorithm is used to measure the green degree of China's equipment manufacturing industry. The results show that the improved particle swarm optimization algorithm is a better method to evaluate the green degree of China's equipment manufacturing industry. The paper measure the green degree of China's equipment manufacturing industry is 0.51, which is at a low level. So it is need to adopt policies to promote green degree to achieve sustainable development goals. In view of this, the paper proposes policy recommendations for the green degree of China's equipment manufacturing industry from the perspectives of improving relevant policies, technological upgrading and environmental protection input, applying legal policy systems, and increasing financial support. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文构建了设备制造业的绿色学位评估体系,然后改进的粒子群优化算法用于测量中国设备制造业的绿色程度。 结果表明,改进的粒子群优化算法是评估中国设备制造业绿色程度的更好方法。 纸张衡量中国设备制造业的绿色程度为0.51,其处于低位。 因此,需要采取政策来促进绿色学位以实现可持续发展目标。 鉴于此,本文提出了从改进相关政策,技术升级和环境保护投入,应用法律政策制度以及增加财政支持的角度来看中国设备制造业的绿色政策建议。 (c)2019年elestvier有限公司保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号