Abstract
This paper develops a spatial analysis approach, which incorporates three components and a carbon dioxide (CO2) emission factor, has been developed to evaluate the multi-state weighted behaviours with CO2 emission uncertainty of the rural areas at an administrative district level. A Mendel genetic algorithm (Mendel-GA) is applied to the spatial analysis problem, where the Mendel genetic operator implies the random assignment of alleles from parents to their offspring by using the Mendel's principles.
| Original language | English |
|---|---|
| Pages (from-to) | 2631-2637 |
| Number of pages | 7 |
| Journal | Applied Soft Computing |
| Volume | 12 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - Aug 2012 |
Keywords
- spatial analysis
- carbon dioxide emission
- mendel genetic algorithm
- functional region
- China
- uncertainity
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Chen, Y., Wang, X., Sha, Z., & Wu, S. (2012). Uncertainty analysis for multi-state weighted behaviours of rural area with carbon dioxide emission estimation. Applied Soft Computing, 12(8), 2631-2637. https://doi.org/10.1016/j.asoc.2012.04.014