  This paper describes the software implementation of genetic algorithm for
identifying and selecting most relevant results received during sequentially
executed subject search operations. Simulated evolutionary process generates
sustainable and effective population of search queries, forms search pattern of
documents or semantic core, creates relevant sets of required documents, allows
automatic classification of search results. The paper discusses the features of
subject search, justifies the use of a genetic algorithm, describes arguments
of the fitness function and describes basic steps and parameters of the
algorithm.
