Visualisation is an important aspect of evolutionary computation, enabling practitioners to explore the operation of their algorithms in an intuitive way and providing a better means for displaying their results to problem owners. The presentation of the complex data arising in many-objective evolutionary algorithms remains a challenge, and this work examines the use of treemaps and sunbursts for visualising such data. We present a novel algorithm for arranging a treemap so that it explicitly displays the dominance relations that characterise many-objective populations, as well as considering approaches for creating trees with which to represent multi- and many-objective solutions. We show that treemaps and sunbursts can be used to display important aspects of evolutionary computation, such as the diversity and convergence of a search population, and demonstrate the approaches on a range of test problems and a real-world problem from the literature.

中文翻译：

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在多目标优化中使用树状图和旭日图进行可视化

可视化是进化计算的一个重要方面，它使从业者能够以直观的方式探索其算法的操作，并为向问题所有者展示其结果提供更好的方法。多目标进化算法中出现的复杂数据的呈现仍然是一个挑战，这项工作检查了使用树状图和旭日形图来可视化此类数据。我们提出了一种用于排列树图的新算法，以便它明确显示表征多目标群体的优势关系，并考虑创建用于表示多目标和多目标解决方案的树的方法。我们展示了树形图和旭日形图可用于显示进化计算的重要方面，例如搜索种群的多样性和收敛性，