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Table 1:
Summary of the exploratory landscape analysis features employed in this article. Each was normalized using the transformations listed.
MethodFeatureDescriptionTransformationsReference
Correlation  Fitness distance correlation  (Jones and Forrest, 1995) 
Average distances  Dispersion of sample points within 1% of  Unit scaling (Lunacek and Whitley, 2006) 
Surrogate models  Adjusted coefficient of determination of a linear regression model Unit scaling (Mersmann et al., 2011) 
  Adjusted coefficient of determination of a linear regression model including variable interactions Unit scaling  
  Adjusted coefficient of determination of a purely quadratic regression model Unit scaling  
  Adjusted coefficient of determination of a quadratic regression model including variable interactions Unit scaling  
  Minimum of the absolute value of the linear model coefficients , -score  
  Maximum of the absolute value of the linear model coefficients , -score  
  Ratio between the minimum and the maximum absolute values of the quadratic term coefficients in the purely quadratic model Unit scaling  
Entropic Significance  Significance of -th order -score,  (Seo and Moon, 2007) 
  Significance of first order -score,   
  Significance of second order -score,   
Cost distribution  Skewness of the cost distribution -score,  (Mersmann et al., 2011; Marin, 2012) 
  Kurtosis of the cost distribution , -score  
  Entropy of the cost distribution , -score  
Fitness sequences  Maximum information content -score (Muñoz, Kirley, and Halgamuge, 2015) 
  Settling sensitivity , -score  
  Initial partial information -score  
MethodFeatureDescriptionTransformationsReference
Correlation  Fitness distance correlation  (Jones and Forrest, 1995) 
Average distances  Dispersion of sample points within 1% of  Unit scaling (Lunacek and Whitley, 2006) 
Surrogate models  Adjusted coefficient of determination of a linear regression model Unit scaling (Mersmann et al., 2011) 
  Adjusted coefficient of determination of a linear regression model including variable interactions Unit scaling  
  Adjusted coefficient of determination of a purely quadratic regression model Unit scaling  
  Adjusted coefficient of determination of a quadratic regression model including variable interactions Unit scaling  
  Minimum of the absolute value of the linear model coefficients , -score  
  Maximum of the absolute value of the linear model coefficients , -score  
  Ratio between the minimum and the maximum absolute values of the quadratic term coefficients in the purely quadratic model Unit scaling  
Entropic Significance  Significance of -th order -score,  (Seo and Moon, 2007) 
  Significance of first order -score,   
  Significance of second order -score,   
Cost distribution  Skewness of the cost distribution -score,  (Mersmann et al., 2011; Marin, 2012) 
  Kurtosis of the cost distribution , -score  
  Entropy of the cost distribution , -score  
Fitness sequences  Maximum information content -score (Muñoz, Kirley, and Halgamuge, 2015) 
  Settling sensitivity , -score  
  Initial partial information -score  
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