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This document discusses using parallel coordinate plots to visualize many-objective solution sets from evolutionary optimization algorithms. It begins by introducing parallel coordinates as an alternative to scatter plots for visualizing high-dimensional data. While parallel coordinates are widely used in evolutionary multi-objective optimization, the document notes they are not as straightforward as scatter plots and some information is lost when projecting high-dimensional data to 2D. It then examines que

Author

trung151087

Language

EN