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Recently, the rapid progresses of computers introduce evolutionary computations to next step, which is the demand for the variety of Pareto solutions in multi-objective optimization problems. We can calculate a large amount of Pareto solutions in a short time. However, it is difficult to use the acquired Pareto solutions effectively, because the Pareto solutions have multi-dimension of fitness values. This study tries to develop "Mining of solutions" technique with visualization. This paperdoi:10.1109/mcdm.2007.369433 dblp:conf/cimcdm/YoshikawaYF07 fatcat:xfsvlbdomnhdzlyv7k3vbnwx6a