General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
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Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2009 Vol.1(4): 450-455 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2009.V1.73

Review on Applicability of Genetic Algorithm to Web Search

S. Siva Sathya and Philomina Simon

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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