State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search

Joint Authors

Ayangbekun, Oluwafemi
Adesina, Ademola
Ekong, Daniel
Agbele, Kehinde

Source

Applied Computational Intelligence and Soft Computing

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-11-14

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Information Technology and Computer Science

Abstract EN

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 optimizated methods in a wide area of search problems motivated by Darwin’s principles of natural selection and survival of the fittest.

This paper describes information retrieval systems (IRS) components.

This paper 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 of internet web search.

American Psychological Association (APA)

Agbele, Kehinde& Adesina, Ademola& Ekong, Daniel& Ayangbekun, Oluwafemi. 2012. State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-449957

Modern Language Association (MLA)

Agbele, Kehinde…[et al.]. State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-449957

American Medical Association (AMA)

Agbele, Kehinde& Adesina, Ademola& Ekong, Daniel& Ayangbekun, Oluwafemi. State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-449957

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-449957