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

المؤلفون المشاركون

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

المصدر

Applied Computational Intelligence and Soft Computing

العدد

المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-7، 7ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2012-11-14

دولة النشر

مصر

عدد الصفحات

7

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-449957