%0 Journal Article
%T State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search
%A Kehinde Agbele
%A Ademola Adesina
%A Daniel Ekong
%A Oluwafemi Ayangbekun
%J Applied Computational Intelligence and Soft Computing
%D 2012
%I Hindawi Publishing Corporation
%R 10.1155/2012/152385
%X 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 DarwinĄŻs 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. 1. Introduction There is a virtual explosion in the availability of electronic information. The advent of the Internet or World Wide Web (WWW) has brought far more information than any human being can absorb. The goal of IR systems is to assist user to organize and store such information and retrieve useful information when a user submits a query to the IR systems. To resolve this problem, many research communities have implemented diverse techniques such as full text, inverted index, keyword querying, Boolean querying, knowledge-based, neural network, probabilistic retrieval, genetic algorithm, and machine learning. Now, increasing numbers of people use web search engines which enable them to access any kind of information from the Internet in order to formulate better, well-informed decisions. However, the ability of search engines to return useful and relevant documents is not always satisfactory. Often users need to refine the search query several times and search through large document collections to find relevant information. But, according to [1], the results returned by the search engine may not be relevant to the usersĄŻ information needs and, hence users need to modify and reformulate their queries. The focus of IR is the capability to search for information relevant to individual userĄŻs needs within a documents collection which is relevant to the userĄŻs query. According to [2], the authors stated that user is in need of information. The work reported in Agbele et al. [3] describes access to information as an important benefit that can be achieved in many areas including socio-economic development, education, and healthcare. In healthcare, for example, access to appropriate information can minimize visits to physicians and period
%U http://www.hindawi.com/journals/acisc/2012/152385/