Fitness distance correlation and Ridge functions

  • R. J. Quick
  • V. J. Rayward-Smith
  • G. D. Smith
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1498)


Fitness Distance Correlation has been proposed as a measure of function optimization difficulty. This paper describes a class of functions, named the Ridge Functions which, according to the measure, should be highly misleading. However, all functions tested were optimized easily by both a GA and a simple hill climbing algorithm. Scatter graph analysis of Ridge functions gave little guidance due to the large number of functions with an identical scatter graph, the majority of which are not in the class of Ridge functions and are not simple to optimize.


Genetic Algorithm Search Space Scatter Diagram Hill Climber Hill Climbing Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • R. J. Quick
    • 1
  • V. J. Rayward-Smith
    • 1
  • G. D. Smith
    • 1
  1. 1.University of East AngliaNorwichUK

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