Thread:Talk:ScalarBot/Version History/how to build a good test bed?/reply (16)
m (Reply to how to build a good test bed?)
Latest revision as of 21:56, 3 October 2017
From memory, population size was about 20. It was something between a gradient descent and a genetic algorithm, by moving from the stronger members away from the weaker members, plus some random component. Remember, I had already extracted all of the features etc, and saved them just before inserting into the Kd-Tree, so the only thing I needed at evaluation time was:
- read data from file
- add points to the tree
- count inliers vs outliers -> give a score
Then at the end multiply the evolved weights with the code weights, recompile, and collect a new set of data; repeat until happy.