State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search
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,...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2012/152385 |
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| _version_ | 1832561817579159552 |
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| author | Kehinde Agbele Ademola Adesina Daniel Ekong Oluwafemi Ayangbekun |
| author_facet | Kehinde Agbele Ademola Adesina Daniel Ekong Oluwafemi Ayangbekun |
| author_sort | Kehinde Agbele |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0a0569a931b24b259603f077d06f72e5 |
| institution | Kabale University |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-0a0569a931b24b259603f077d06f72e52025-02-03T01:23:59ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322012-01-01201210.1155/2012/152385152385State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web SearchKehinde Agbele0Ademola Adesina1Daniel Ekong2Oluwafemi Ayangbekun3Department of Computer Science, Soft Computing and Intelligent Systems Research Group, University of the Western Cape, Private Bag X17, Bellville, Cape Town, South AfricaDepartment of Computer Science, Soft Computing and Intelligent Systems Research Group, University of the Western Cape, Private Bag X17, Bellville, Cape Town, South AfricaDepartment of Mathematical Sciences (Computer Science Option), Ekiti State University, Ado-Ekiti, PMB 5363, Ado-Ekiti, Ekiti State, NigeriaCollege of Information and Communication Technology, Crescent University, Abeokuta, Ogun-State, NigeriaPeople 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.http://dx.doi.org/10.1155/2012/152385 |
| spellingShingle | Kehinde Agbele Ademola Adesina Daniel Ekong Oluwafemi Ayangbekun State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search Applied Computational Intelligence and Soft Computing |
| title | State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search |
| title_full | State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search |
| title_fullStr | State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search |
| title_full_unstemmed | State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search |
| title_short | State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search |
| title_sort | state of the art review on relevance of genetic algorithm to internet web search |
| url | http://dx.doi.org/10.1155/2012/152385 |
| work_keys_str_mv | AT kehindeagbele stateoftheartreviewonrelevanceofgeneticalgorithmtointernetwebsearch AT ademolaadesina stateoftheartreviewonrelevanceofgeneticalgorithmtointernetwebsearch AT danielekong stateoftheartreviewonrelevanceofgeneticalgorithmtointernetwebsearch AT oluwafemiayangbekun stateoftheartreviewonrelevanceofgeneticalgorithmtointernetwebsearch |