Classification of textual E-mail spam using data mining techniques
Applied Computational Intelligence and Soft Computing
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A general description of genetic algorithms is given. An optimal scheduling problem is examined from the viewpoint of real needs of a modern university. A solution, based on a genetic algorithm, is proposed for the problem. The genetic algorithm implementations are reviewed and their convergence rate and quality are analyzed.