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Aim of the Conference The MLDM´2021 conference is the fourteenth event in a series of Machine Learning and Data Mining meetings. The aim of MLDM is to bring together from all over the world researchers dealing with machine learning and data mining, in order to discuss the recent status of the research in the field and to direct its further developments. Basic research papers as well as application papers are welcome. All kinds of applications are welcome,

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Abstract.The multi-level approach is known to be a highly effective metaheuristic framework for tackling several types of combinatorial optimization problems, which is one of the best performing approaches for the graph partitioning problems. In this paper, we integrate the multilevel approach into the hypervolume-based multi-objective local search algorithm, in order to solve the bi-criteria max-cut problem. The experimental results indicate that the proposed algorithm is very competitive, and the performance analysis sheds lights on the ways to further improvements.

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