Topics in evolutionarycomputation and mixture model-based clustering will be explored, as well as theintersection of the two. Mixture model-based approaches to clustering will beconsidered, and a parameter estimation approach using evolutionary computationwill be proposed and illustrated. The problem of missing data in clusteringwill be tackled using evolutionary algorithms. The talk will conclude with somediscussion on the more broad applicability of evolutionary algorithms instatistics and a few words on some applied work in astrophysics.