No abstract

No abstract

Abstract. Over the last decades, a great effort has been done in order to achieve a suitable management of international sea freight trade. The maritime container terminals are intermediate points aimed at exchanging containers within multimodal transport networks. The large number of decision problems brought together in these facilities and the way they are related to each other constitute a challenge for their managers. The goal of this work is to overview the most outstanding logistic processes in maritime container terminals and provide some general guidelines for designing integration approaches.

No abstract

Abstract. Most Data Mining tasks are performed by the application of Machine Learning techniques. Metaheuristic approaches are becoming very useful for designing efficient tools in Machine Learning. Metaheuristics are general strategies to design efficient heuristic procedures. Scatter Search is a recent metaheuristic that has been successfully applied to solve standard problems in three central paradigms of Machine Learning: Clustering, Classification and Feature Selection. We describe the main components of the Scatter Search metaheuristic and the characteristics of the specific designs to be applied to solve standard problems in these tasks.