IGA的混合适应度分配策略

F. Sugimoto, M. Yoneyama
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引用次数: 9

摘要

为了实现IGA的自然交互,我们开发了一种混合适应度分配策略。该策略允许用户选择一些个体并评估显示所选个体与目标图像的相似程度的等级。本文将给出一种混合适应度分配策略中用户选择两个个体时的适应度组合方法。我们知道,在限定条件的代中,选择两个个体可以获得更好的性能。这种情况相当于用户很难只选择一个人的实际情况。混合策略有助于在实际情况下实现更自然的交互。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid fitness assignment strategy in IGA
We have been developing a hybrid fitness assignment strategy to realize a natural interaction in IGA. The strategy allows a user to select some individuals and evaluate a grade that shows how the selected individual resembles a target image. In this paper, we will show a method to compose fitness when a user selects two individuals in the hybrid fitness assignment strategy. It is known that better performance is obtained when two individuals are selected in the generations limited with a condition. The condition is equivalent to the actual situation in which it is difficult for a user to select only one individual. The hybrid strategy is useful to realize a more natural interaction in the actual situation.
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