一种用于进化多目标优化成败检测的进度指标

2009 IEEE Congress on Evolutionary Computation Pub Date : 2010-07-18 DOI:10.1109/CEC.2010.5586352

Luis Martí, Jesús García, A. Berlanga, J. M. Molina

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引用次数: 6

摘要

在这项工作中，我们提出了一个新的进度指标，称为适应度同质性指标(FHI)。该指标改进了前面讨论的其他指标，因为它考虑了种群中发生的所有可能过程，而不需要密集的计算，因为它依赖于为个体计算的适应度值。它还能够同样检测成功和失败的情况，希望能及早发现第二种情况。

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 progress indicator for detecting success and failure in evolutionary multi-objective optimization

In this work we present a novel progress indicator, called fitness homogeneity indicator (FHI). This indicator improves the other previously discussed indicators as it takes into account all possible processes taking place in the population while not requiring an intensive computation as it relies on the fitness values calculated for the individuals. It is also capable of equally detecting success and failure scenarios, hopefully making an early detection of the second case.

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2009 IEEE Congress on Evolutionary Computation

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