The following paper has been accepted to IEEE Transaction on Evolutionary Computation. This paper is an extension of our GECCO 2018 paper, which theoretically analyzes the information geometric optimization (IGO) algorithm with isotropic Gaussian distribution on Convex Quadratic Functions.
Kento Uchida, Shinichi Shirakawa, Youhei Akimoto, “Finite-Sample Analysis of Information Geometric Optimization with Isotropic Gaussian Distribution on Convex Quadratic Functions,” IEEE Transactions on Evolutionary Computation (2019) (Accepted) [DOI]