In The Third Asia-Pacific Conference on Simulated Evolution and Learning
A novel evolution strategy implementing variable length genomes is developed to address the problem of
dynamic partitional clustering. As opposed to static, dynamic clustering does not require a priori specification
of the cluster number. Results of the algorithm are presented and discussed for 2-D touching and non-touching
cluster test cases.