%0 Journal Article %1 hansen2016evolution %A Hansen, Nikolaus %D 2016 %K evolution-strategies genetic-programming %T The CMA Evolution Strategy: A Tutorial %U http://arxiv.org/abs/1604.00772 %X This tutorial introduces the CMA Evolution Strategy (ES), where CMA stands for Covariance Matrix Adaptation. The CMA-ES is a stochastic, or randomized, method for real-parameter (continuous domain) optimization of non-linear, non-convex functions. We try to motivate and derive the algorithm from intuitive concepts and from requirements of non-linear, non-convex search in continuous domain.

@article{hansen2016evolution, abstract = {This tutorial introduces the CMA Evolution Strategy (ES), where CMA stands for Covariance Matrix Adaptation. The CMA-ES is a stochastic, or randomized, method for real-parameter (continuous domain) optimization of non-linear, non-convex functions. We try to motivate and derive the algorithm from intuitive concepts and from requirements of non-linear, non-convex search in continuous domain.}, added-at = {2019-09-19T16:05:56.000+0200}, author = {Hansen, Nikolaus}, biburl = {https://www.bibsonomy.org/bibtex/259afc1e71307da850c457b6b01e8056d/kirk86}, description = {[1604.00772] The CMA Evolution Strategy: A Tutorial}, interhash = {4ef0334eb7645dc6128a9936083f0b33}, intrahash = {59afc1e71307da850c457b6b01e8056d}, keywords = {evolution-strategies genetic-programming}, note = {cite arxiv:1604.00772Comment: ArXiv e-prints, arXiv:1604.xxxxx}, timestamp = {2019-09-19T16:05:56.000+0200}, title = {The CMA Evolution Strategy: A Tutorial}, url = {http://arxiv.org/abs/1604.00772}, year = 2016 }