Abstract—Information Retrieval (IR) is concerned with searching and retrieving information within the documents and also searching the online databases and internet. Genetic Algorithms (GA) are robust and efficient search and optimization techniques inspired by the Darwin's theory of natural evolution. In this paper, a novel frame work of information retrieval system is proposed. The applicability of Genetic algorithms in the field of web search and a review on how a GA is applied to different problem domains in web search is discussed.
Index Terms—Genetic algorithm, Information retrieval, Genetic Operators, Web Search, Information retrieval system
F. A. S. Siva Sathya is with the Pondicherry University, Department of Computer Science, India
S. B. Philomina Simon is with the Pondicherry University, Department of Computer Science, India
Cite: S. Siva Sathya and Philomina Simon, "Review on Applicability of Genetic Algorithm to Web Search," International Journal of Computer Theory and Engineering vol. 1, no. 4, pp. 450-455, 2009.
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