OLAP data cubes configuration with genetic algorithms

We deploy a genetic algorithm to automate the selection of OLAP data cubes. In particular, we concentrate on constraint-handling techniques. We propose a greedy repair method to deal with the problem of infeasible candidates that violate constraints. As the experiments show, this repair method is effective in exploring as well as exploiting the search to find a good solution.