An optimized gene expression programming model for forecasting the national CO 2 emissions in 2030 using the metaheuristic algorithms

标题
An optimized gene expression programming model for forecasting the national CO 2 emissions in 2030 using the metaheuristic algorithms
作者
关键词
-
出版物
APPLIED ENERGY
Volume 228, Issue -, Pages 808-820
出版商
Elsevier BV
发表日期
2018-07-08
DOI
10.1016/j.apenergy.2018.06.106

向作者/读者发起求助以获取更多资源

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started