Information retrieval using modified genetic algorithm
Other Title(s)
استرجاع المعلومات باستخدام الخوارزمية الجينية المحدثة
Joint Authors
Mhawi, Dua IntIshah
Abd al-Wahid, Sarah Najm
Abd al-Hasan, Alya Karim
Source
Issue
Vol. 2017, Issue 27 (30 Jun. 2017), pp.15-35, 21 p.
Publisher
Publication Date
2017-06-30
Country of Publication
Iraq
No. of Pages
21
Main Subjects
Topics
Abstract EN
Several techniques proposed to retrieve the most relevant HTML documents to user query.
Genetic algorithm (GA) one of these technique, which creates several generations iteratively using the operations of: selection, crossover and mutation before producing the results.
In this paper, focuses on enhance the operations of GA and proposed new fitness function to enhance the quality of the retrieved results.
This technique applied to HTML documents and using recall, precision measures to evaluate.
The results show high improvement in the retrieved documents quality in terms of these measures.
American Psychological Association (APA)
Abd al-Hasan, Alya Karim& Mhawi, Dua IntIshah& Abd al-Wahid, Sarah Najm. 2017. Information retrieval using modified genetic algorithm. al-Mansour،Vol. 2017, no. 27, pp.15-35.
https://search.emarefa.net/detail/BIM-779032
Modern Language Association (MLA)
Mhawi, Dua IntIshah…[et al.]. Information retrieval using modified genetic algorithm. al-Mansour No. 27 (2017), pp.15-35.
https://search.emarefa.net/detail/BIM-779032
American Medical Association (AMA)
Abd al-Hasan, Alya Karim& Mhawi, Dua IntIshah& Abd al-Wahid, Sarah Najm. Information retrieval using modified genetic algorithm. al-Mansour. 2017. Vol. 2017, no. 27, pp.15-35.
https://search.emarefa.net/detail/BIM-779032
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 33-34
Record ID
BIM-779032