Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by Oluwafemi Ayangbekun
Total Records ( 1 ) for Oluwafemi Ayangbekun
  Kehinde Agbele , Ademola Adesina , Daniel Ekong and Oluwafemi Ayangbekun
  People use search engines to find information they desire with the aim that their information needs will be met. Information Retrieval (IR) is a field that is concerned primarily with the searching and retrieving of information in the documents and also searching the search engine online databases and internet. Genetic Algorithms (GAs) are robust, efficient and optimization methods in a wide area of search problems motivated by Dawn’s principles of natural selection and survival-of-the-fittest. This study presents a novel framework of Information Retrieval Systems (IRS). This study looks at how GAs can be applied in the field of IR and specifically the relevance of Genetic Algorithms to Internet web search. Finally, from the proposals surveyed it turns out that GA is applied to diverse problem fields to internet web search.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility