Uncertainty analysis for multi-state weighted behaviours of rural area with carbon dioxide emission estimation

Yi Chen, Xinyu Wang, Zhijie Sha, Shaomin Wu

Research output: Contribution to journalArticle

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 languageEnglish
Pages (from-to)2631-2637
Number of pages7
JournalApplied Soft Computing
Volume12
Issue number8
DOIs
Publication statusPublished - Aug 2012

Keywords

  • spatial analysis
  • carbon dioxide emission
  • mendel genetic algorithm
  • functional region
  • China
  • uncertainity

Fingerprint Dive into the research topics of 'Uncertainty analysis for multi-state weighted behaviours of rural area with carbon dioxide emission estimation'. Together they form a unique fingerprint.

  • Cite this