A Comparison and Analysis of various extended Techniques of Query Optimization

This paper presents the detailed comparison of various evolutionary algorithms developed for query optimization on web servers. It is very much a known fact now that information on the web has been growing exponentially and the need of efficient extraction of information was felt long back. Therefore, researchers have been putting their time and efforts for developing various algorithms that suit to the need of changing times. Development of these evolutionary algorithms has been motivated from biological and social behaviour of animals, birds and human beings. The work aims to compare the existing works with the intention to find to scope of improvement amongst these, if any.

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