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USING GENETIC ALGORITHMS FOR BOOLEAN QUERIES OPTIMIZATION

机译:使用遗传算法进行布尔查询优化

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Most of information retrieval systems depend on Boolean queries. The performance of an information retrieval system is usually measured in terms of two different criteria, precision and recall. This way, the optimization of any of its components is a clear example of a multi-objective problem. However, although evolutionary algorithms have been widely applied in the information retrieval area, in all of these applications both criteria have been combined in a single scalar fitness function by means of a weighting scheme. In this paper, we deal with using of Genetic algorithms in Information retrieval specially in optimizing of a Boolean query.
机译:大多数信息检索系统取决于布尔查询。信息检索系统的性能通常根据两个不同的标准,精度和召回来衡量。这样,任何组件的优化都是多目标问题的一个明显的例子。然而,尽管在信息检索区域中已经广泛应用了进化算法,但在所有这些应用中,两个标准通过加权方案在单个标量度函数中结合在一起。在本文中,我们在优化布尔查询中的信息检索中处理遗传算法。

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