Statistics-Based Interactive Evolutionary Computation for Color Scheme Search
Statistics-Based Interactive Evolutionary Computation for Color Scheme Search
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DOI：
10.5057/ijae.14.31
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发表时间：
2015
影响因子：
0.3
通讯作者：
K. Ishibashi;K. Miyata
中科院分区：
文献类型：
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作者：
K. Ishibashi;K. Miyata
本文提出了一种基于遗传算法的交互式进化计算（IEC）的配色方案搜索方法。一般来说，没有足够的技能或色彩知识的人需要投入大量的时间和精力来创建配色方案。为了克服这个问题，我们提出了一个基于遗传算法的交互式遗传算法和四个相似性搜索功能。这种组合使用户能够轻松有效地获得合适的配色方案。为了研究所提出的方法的性能，我们进行了两个实验，并确认所提出的方法的实施应用程序允许用户在不到48秒的时间内获得所需的配色方案。我们还证实，所提出的方法可以提供用户满意的重新着色的插图在不到52秒。此外，我们证实了所提出的方法是上级的搜索能力优于传统的IEC方法，通过比较实验。
This paper presents a statistics-based interactive evolutionary computation (IEC) method for color scheme searches. Generally, people who do not have sufficient skill or knowledge of colors need to devote considerable time and effort to creating color schemes. To overcome this problem, we propose a statistics-based interactive genetic algorithm and four similarity search functions. This combination allows users to easily and effectively obtain appropriate color schemes. To investigate the performance of the proposed method, we conducted two experiments and confirmed that the implemented application of the proposed method allows users to obtain a desired color scheme in less than 48 s. We also confirmed that the proposed method could provide users favorable recolored illustrations in less than 52 s. In addition, we confirmed that the search ability of the proposed method is superior to that of the conventional IEC method through a comparison experiment.