多目标Pareto解的可视化研究-解挖掘技术的发展

2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making Pub Date : 2007-04-01 DOI:10.1109/MCDM.2007.369433

T. Yoshikawa, Daisuke Yamashiro, T. Furuhashi

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引用次数: 4

摘要

计算机的快速发展将进化计算引入了下一个阶段，这是多目标优化问题中Pareto解的多样性的需求。我们可以在短时间内计算出大量的帕累托解。然而，由于Pareto解具有多维度的适应度值，使得获取的Pareto解难以有效利用。本研究尝试以可视化的方式发展“解的挖掘”技术。提出了一种具有多目标适应度值的Pareto解的可视化方法。该方法使我们掌握了Pareto解的分布结构，并阐明了多目标适应度值之间的关系。本文表明，可视化的数据使我们能够通过实验结果来解释帕累托解的特征

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Proposal of Visualization of Multi-Objective Pareto Solutions -Development of Mining Technique for Solutions-

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 paper proposes a visualizing method for Pareto solutions which have multi-objective fitness values. The proposed method enables us to grasp the distributed structure of Pareto solutions and clarify the relationship among multi-objective fitness values. This paper shows that the visualized data enables us to interpret the characteristics of Pareto solutions through experimental result

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2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making

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