Optimized selection of suitable sites for farmland consolidation projects using multi-objective genetic algorithms

Authors

  • Wang Lu 1. Guangzhou Institute of Geochemistry, Chinese Academic of Science, Guangzhou 510640, Guangdong Province, China; 2. University of Chinese Academic of Sciences, Beijing 100039, China; 3. College of Information, South China Agricultural University, Guangzhou 510642, Guangdong Province, China; 4. Guangdong Province Land Use and Remediation of the Key Laboratory, Guangzhou 510642, Guangdong Province, China)
  • Huang Ningsheng 1. Guangzhou Institute of Geochemistry, Chinese Academic of Science, Guangzhou 510640, Guangdong Province, China; 2. University of Chinese Academic of Sciences, Beijing 100039, China;
  • Kuang Yaoqiu uangzhou Institute of Geochemistry, Chinese Academic of Science, Guangzhou 510640, Guangdong Province, China; University of Chinese Academic of Sciences, Beijing 100039, China
  • Zhou Jinhao College of Information, South China Agricultural University, Guangzhou 510642, Guangdong Province, China
  • Zhao Yuan 3. College of Information, South China Agricultural University, Guangzhou 510642, Guangdong Province, China; 4. Guangdong Province Land Use and Remediation of the Key Laboratory, Guangzhou 510642, Guangdong Province, China
  • Zhang Zhen 3. College of Information, South China Agricultural University, Guangzhou 510642, Guangdong Province, China
  • Hu Yueming 3. College of Information, South China Agricultural University, Guangzhou 510642, Guangdong Province, China; 4. Guangdong Province Land Use and Remediation of the Key Laboratory, Guangzhou 510642, Guangdong Province, China

Keywords:

farmland consolidation, site selection, evaluation index system, multi-objective optimization, genetic algorithm, suitability

Abstract

In order to select suitable sites for farmland consolidation projects, correlation analysis and evolutionary algorithms were used to optimize the evaluation of ecological, social and economic factors, avoiding subjective selection and ignorance of spatial relationships among land attributes. Multi-objective Genetic Algorithms (MOGA) were applied to select the best sites from the perspective of spatial relationship and land attribute evaluation. With carefully defined restrictions and variables, multi-objective optimization is able to select several suitable sites for farmland consolidation projects. The results from a case study in Yangshan, Guangdong of China showed that the selected sites were on the central and southern Yangshan with expected flat terrain and abundant water resources. An empirical experiment also demonstrated that the proposed method is able to provide well selected sites for land consolidation projects. Keywords: farmland consolidation, site selection, evaluation index system, multi-objective optimization, genetic algorithm, suitability DOI: 10.3965/j.ijabe.20140703.003 Citation: Wang L, Huang N S, Kuang Y Q, Zhou J H, Zhao Y, Zhang Z, Hu Y M. Optimized selection of suitable sites for farmland consolidation projects using multi-objective genetic algorithms. Int J Agric & Biol Eng, 2014; 7(3): 19-27.

Author Biographies

Wang Lu, 1. Guangzhou Institute of Geochemistry, Chinese Academic of Science, Guangzhou 510640, Guangdong Province, China; 2. University of Chinese Academic of Sciences, Beijing 100039, China; 3. College of Information, South China Agricultural University, Guangzhou 510642, Guangdong Province, China; 4. Guangdong Province Land Use and Remediation of the Key Laboratory, Guangzhou 510642, Guangdong Province, China)

College of Information

Huang Ningsheng, 1. Guangzhou Institute of Geochemistry, Chinese Academic of Science, Guangzhou 510640, Guangdong Province, China; 2. University of Chinese Academic of Sciences, Beijing 100039, China;

Professor

Kuang Yaoqiu, uangzhou Institute of Geochemistry, Chinese Academic of Science, Guangzhou 510640, Guangdong Province, China; University of Chinese Academic of Sciences, Beijing 100039, China

Professor

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Published

2014-06-25

How to Cite

Lu, W., Ningsheng, H., Yaoqiu, K., Jinhao, Z., Yuan, Z., Zhen, Z., & Yueming, H. (2014). Optimized selection of suitable sites for farmland consolidation projects using multi-objective genetic algorithms. International Journal of Agricultural and Biological Engineering, 7(3), 19–27. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/1187

Issue

Vol. 7 No. 3 (2014): IJABE

Section

Natural Resources and Environmental Systems

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