NDLI: Limitations of the fitness-proportional negative slope coefficient as a difficulty measure

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Limitations of the fitness-proportional negative slope coefficient as a difficulty measure

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Limitations of the fitness-proportional negative slope coefficient as a difficulty measure

Content Provider	ACM Digital Library
Author	Valsecchi, Andrea Poli, Riccardo Vanneschi, Leonardo
Abstract	Fitness-Proportional Negative Slope Coefficient is a fitness landscapes measure that has recently been introduced as a potential indicator of problem hardness for optimisation. It is inspired to an older measure, the Negative Slope Coefficient, and it has been theoretically modelled. Preliminary experiments have suggested that it may be a good predictor of problem hardness. However, this measure has not undergone any convincing and comprehensive empirical testing. Our objective is to fill this gap. So, we perform empirical tests using a large set of invertible functions of unitation. We find that while this measure may correctly predict the degree of evolvability of a landscape, this does not necessarily correlate with the difficulty of problems. Some landscapes may show, for example, limited evolvability and yet be easy to solve because either solutions are already present in the initial population or the computational resources provided exceed evolvability obstacles. Or it may be impossible to solve them irrespective of their evolvability simply because they are far too vast for the computational resources provided. These situations are hardly captured by the Fitness-Proportional Negative Slope Coefficient.
Starting Page	1877
Ending Page	1878
Page Count	2
File Format	PDF
ISBN	9781605583259
DOI	10.1145/1569901.1570212
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-07-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Fitness clouds Fitness landscapes Fitness-proportional negative slope coefficient Problem difficulty
Content Type	Text
Resource Type	Article

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