Landscape analysis under measurement error

Landscape analysis under measurement error
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测量误差下的景观分析

DOI:
10.1145/3319619.3326858
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发表时间:
2019
期刊:
--
影响因子:
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通讯作者:
Alyahya K
Alyahya K
中科院分区:
--
文献类型:
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作者:
Alyahya K

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在某些情况下,需要使用全局精度公差进行优化-例如,由于目标函数中的测量、数值或评估误差。在这种情况下,可以预定义全局容差ε> 0,以便如果两个目标值之间的绝对差小于或等于ε,则声明两个目标值相等。本文介绍了在这种情况下的适应度景观分析的概述。我们描述了制定共同的景观类别的存在下,一个全球性的精度公差。然后,我们继续讨论的问题,可能出现的结果,使用宽容,如增加的中立性的健身景观。为此,我们提出了两种方法来彻底探索高原在这样的应用领域-其中之一是基于点的,其中之一是基于集合的。
There are situations where the need for optimisation with a global precision tolerance arises - for example, due to measurement, numerical or evaluation errors in the objective function. In such situations, a global toleranceϵ> 0 can be predefined such that two objective values are declared equal if the absolute difference between them is less than or equal toϵ. This paper presents an overview of fitness landscape analysis under such conditions. We describe the formulation of common landscape categories in the presence of a global precision tolerance. We then proceed by discussing issues that can emerge as a result of using tolerance, such as the increase in the neutrality of the fitness landscape. To this end, we propose two methods to exhaustively explore plateaus in such application domains - one of which is point-based and the other of which is set-based.
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发表时间: 2006-06-01
影响因子: 6.8
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