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  • 标题:Examining Genetic Algorithms as an effective Computational tool in Education-Domain
  • 本地全文:下载
  • 作者:Amritpal Singh ; Gurjit Singh
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2016
  • 卷号:34
  • 期号:3
  • 页码:156-159
  • DOI:10.14445/22312803/IJCTT-V34P128
  • 出版社:Seventh Sense Research Group
  • 摘要:This paper employs Genetic algorithms (GA's) for the enhancement of computational capabilities to achieve reduction in time complexities. These algorithms can be applied on diverse problems related to different fields like Civil Engineering, Bio Informatics, Bio Technology, Basic Sciences etc. Solution is evident and already provided by the nature; but how to look for it, depends upon individual. So, learning inspired from natural phenomenon can help in improving quality of higher education. Genetic algorithms mimic natural process of preserving the best and still try to improve solutions at each step. This paper focuses on less amount of time taken by these algorithms for performing calculations and generating results as compared to conventional techniques. These can be implemented very efficiently at various levels to deliver quality education.
  • 关键词:Genetic Algorithm; Neural Networks; Education-domain; Computational tool.
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