Métaheuristiques pour la classification de bouchons naturels en liège

We study heuristic methods for a classification problem encountered in cork industry. More precisely, we want to optimize the parameters of the classification rule that is daily used to classify corks. We experimented several metaheuristics and compared their performance on a real test case. The obtained results improve the current classification rate. We propose also, from our observations, new directions that may lead to further improvement for a still better classification.