Tune Up of a Genetic Algorithm to Group Documentary Collections

Both in industry and science there are some real problems regarding the optimization of difficult solution characterized by computational complexity, because the available exact algorithms are inefficient or simply impossible to implement. The metaheuristics (MHs) are a family of approximate methods of general purpose consisting in iterative procedures that guide heuristics, intelligently combining different concepts to explore and exploit properly the search space [12]. Therefore, there are two important factors when designing MHs : intensification and diversification. The diversification generally refers to the ability to visit many different regions of search space, while intensification refers to the ability to obtain high quality solutions in these regions. A search algorithm must achieve a balance between these two factors so as to successfully solve the problem addressed.