Importance of Genetic Algorithm and Similarity Function in Information Retrieval
Keywords:
Genetic Algorithm, crossoverAbstract
In every field information plays an important role .To collect important and relevant information in digital world is a challenging task. In this context various searching algorithms and similarity function is used to retrieve relevant information. In this paper genetic algorithm and various similarity functions are discussed. Genetic algorithm and similarity functions help to get the relevant information from the digital world. The objective of this paper is to summarize the whole process and looking into some of the known genetic algorithms and similarity functions to retrieve relevant information.
References
P. Simon, and S.S. Sathya, “Genetic algorithm for information retrieval”, International Conference on Intelligent Agent & Multi-Agent Systems (IAMA), ISBN: 978-1-4244-4710-7, pp. 1 – 6, 2009.
Pragati Bhatnagar and N.K. Pareek, “ A combined matching function based evolutionary approach for development of adaptive information retrieval system”, International Journal of Emerging Technology and Advanced Engineering, ISSN 2250-2459, vol. 2, no. 6,pp. 249-256, Jun. 2012.
S. Brin and L. Page, “The Anatomy of a Large-Scale Hypertextual Web Search Engine,” Proc. Seventh Int’l Conf. World Wide Web (WWW ’98), pp. 107-117, 1998.
E man Al Mashagba , Feras Al Mashagba and Mohammad Othman Nassar, “Query optimization using genetic algorithm in the vector space model”, International Journal of Computer Science, ISSN 0814-1694, vol. 8, no. 3, pp. 450-457, Sept. 2011.
Anna Huang, “Similarity Measures for Text Document Clustering”, Proceedings of the New Zealand Computer Science Research Student Conference, 2008.
Mahesh A. Sale, Pramila M. Chawan, Prithviraj M. Chauhan, “Information extraction from web tables”, International Journal of Engineering Research and Application, vol. 2, no. 3, pp. 313-318, Jun 2012.
Vaibhav Chaudhary, Pushpa Rani Suri, “Genetic algorithm v/s share genetic algorithm with roulette wheel selection method for registration of multimodal images”, International Journal of Engineering Research and Application, vol. 2, no. 4, pp.365-370, Aug. 2012.
Nor Hashimah Sulaiman and Daud Mohamad, “A jaccard based similarity measure for soft sets”, IEEE Symposium on Humanities, Science and Engineering Research, pp.659-663, 2012.
Manoj Chahal and Jaswinder Singh ,” Effective Information Retrieval Using Similarity Function: Horng and Yeh Coefficient”, International Journal of Advanced Research in computer science and software Engineering , vol 3 Issue 8 ,pp- 401-406 ,Aug 2013.
Poltak Sihombing, Abdullah Embong, Putra Sumari, “Comparison of document similarity in information retrieval system by different formulation”, Proceedings of 2nd IMT-GT Regional Conference on Mathematics Statics and Application, Malaysia, Jun. 2006.
