Finding the valuable relevant information continues to be the major challenges of Information Retrieval Systems owing to the explosive growth of online web information.
Among these challenges, we consider the XML Information Retrieval
challenges as XML has become a de facto standard over the Web. In this paper, we tackle the issue of content-based XML information retrieval. We formulate the retrieval issue as a combinatorial optimization problem in order to generate
the best set of relevant XML elements for a given keywords query.
In our proposal, we define a genetic algorithm which maximizes similarity between a set of XML elements and the user query. The results based on the precision measure are very promising.
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