Population optimization algorithm based on ICA

We propose a new population optimization algorithm called univariate marginal distribution algorithm with independent component analysis (UMDA/ICA). Our main idea is to incorporate ICA into the UMDA algorithm in order to tackle the interrelations among variables. We demonstrate that UMDA/ICA performs better than UMDA for a test function with highly correlated variables.