The age range of 15–18 is interdisciplinary and hence complex to study in terms of education and marriage. Aggregated Data on levels of education and number of never married individuals are taken into account for this study. The concept of spatial arrangement in spatial analysis is proposed to order levels of education in order of achievement. The optimal solution that the genetic algorithm model outputs is the level of qualification that contributes to delaying underage marriages the most. With a wide solution space, the findings are ranked and overlapped with an established index to validate the ranking.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Impact of Education in Delaying Female Underage Marriages in Rural India Using Genetic Algorithm

  • Nixon Joji,
  • Jayati Bhadra

摘要

The age range of 15–18 is interdisciplinary and hence complex to study in terms of education and marriage. Aggregated Data on levels of education and number of never married individuals are taken into account for this study. The concept of spatial arrangement in spatial analysis is proposed to order levels of education in order of achievement. The optimal solution that the genetic algorithm model outputs is the level of qualification that contributes to delaying underage marriages the most. With a wide solution space, the findings are ranked and overlapped with an established index to validate the ranking.