TY  - JOUR
T1  - State of the Art Review on Relevance of Genetic Algorithm to Internet Web Search
AU - Agbele, Kehinde AU - Adesina, Ademola AU - Ekong, Daniel AU - Ayangbekun, Oluwafemi 
JO  - Asian Journal of Information Technology
VL  - 11
IS  - 3
SP  - 117
EP  - 124
PY  - 2012
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2012.117.124
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2012.117.124
KW  - Genetic Algorithm
KW  -internet web search
KW  -genetic operators
KW  -information retrieval
KW  -information retrieval systems
AB  - 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.
ER  -