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<record>
  <title>Optimization Design of Green Architecture Landscape Space Environment in Traditional Villages based on Niche Genetic Algorithm</title>
  <journal>Journal of E-Technology</journal>
  <author>Qing Zeng</author>
  <volume>16</volume>
  <issue>1</issue>
  <year>2025</year>
  <doi>https://doi.org/10.6025/jet/2025/16/1/10-18</doi>
  <url>https://www.dline.info/jet/fulltext/v16n1/jetv16n1_2.pdf</url>
  <abstract>This paper focuses on the optimization design of the green architecture landscape space environment in
traditional villages using the niche genetic algorithm. The purpose is to explore how to improve traditional
villagesâ€™ green architecture landscape space environment through optimization design methods. By analyzing
the cultural characteristics and environmental issues of traditional villages and combining domestic and foreign
research progress, a niche genetic algorithm-based optimization design method is proposed. Experimental
results demonstrate that this method effectively enhances traditional villagesâ€™ green architecture landscape
space environment, thereby improving the residentsâ€™ quality of life and environmental adaptability. This
research provides a new approach and method for the sustainable development of traditional villages.</abstract>
</record>
