FLA

Fitness Landscape Analysis


Computational Intelligence Research Group

FLA is a collection of traversal algorithms and function metrics used in Fitness Landscape Analysis. All function metrics have been implemented for use on continuous-domain problems.

What's included

Currently all function metrics and random walk algorithms have been implemented from techniques described in Characterising Continuous Optimisation Problems for Particle Swarm Optimisation Performance Prediction by K. Malan.

Function Metrics

The following function metrics are included:

  • Dispersion

  • First Entropic Measure

  • Fitness Cloud Index

  • Fitness Distance Correlation

  • Gradient Measures (mean, max, std. deviation)

  • Information Landscape

Random Walks

The following random walk algorithms are included:

  • Simple Random Walk

  • Progressive Random Walk

  • Manhattan Progressive Random Walk