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.
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.
The following function metrics are included:
First Entropic Measure
Fitness Cloud Index
Fitness Distance Correlation
Gradient Measures (mean, max, std. deviation)
The following random walk algorithms are included:
Simple Random Walk
Progressive Random Walk
Manhattan Progressive Random Walk