Global Optimization methods based on Clustering, Populations, Random Projections

We recently published a paper on GO methods based on Differential Evolution. We would like to perform more experiments and possibly extend the methods in several directions: experimenting with different dimensionality reduction techniques, apply to a large set of test functions, extend the method to other evolutioanry algorithms (other DE memetic methods, particle swarm,….).