CMA-ES公司
进化策略
领域(数学分析)
数学优化
适应(眼睛)
计算机科学
正多边形
数学
进化算法
数学分析
物理
光学
几何学
出处
期刊:Cornell University - arXiv
日期:2016-04-04
被引量:635
标识
DOI:10.48550/arxiv.1604.00772
摘要
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.
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