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文章基本信息

  • 标题:Obesity Heuristic, New Way on Artificial Immune Systems
  • 本地全文:下载
  • 作者:M. A. El-Dosuky ; M. Z. Rashad ; T. T. Hamza
  • 期刊名称:Advanced Computing : an International Journal
  • 印刷版ISSN:2229-726X
  • 电子版ISSN:2229-6727
  • 出版年度:2012
  • 卷号:3
  • 期号:6
  • DOI:10.5121/acij.2012.3601
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:There is a need for new metaphors from immunology to flourish the application areas of Artificial Immune Systems. A metaheuristic called Obesity Heuristic derived from advances in obesity treatment is proposed. The main forces of the algorithm are the generation omega-6 and omega-3 fatty acids. The algorithm works with Just-In-Time philosophy; by starting only when desired. A case study of data cleaning is provided. With experiments conducted on standard tables, results show that Obesity Heuristic outperforms other algorithms, with 100% recall. This is a great improvement over other algorithms.
  • 关键词:Artificial Immune Systems; Obesity Heuristic; Data Cleaning
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