提出了一种基于交互式遗传算法的图像检索模型。

This paper proposes an image retrieval system based on IGA.

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对于交互式遗传算法的问题，即缺乏评价的一种方法测量的不确定性的方法，方法与灰度级的离散健身提出来处理这个问题。

For the problem that interactive genetic algorithms lack a way of measuring the uncertainty of evaluation, a method with grey level for discrete fitness is proposed to deal with this problem.

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但交互式遗传算法存在的主要问题是：当遗传操作的收敛速度慢时，用户需对大量个体进行评估，尤其是在个体间相似程度较高时，容易产生疲劳现象。

However, an existing significant problem for IGA is that users have to evaluate a large number of individuals when the convergence speed of genetic operations is too slow.

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