Share your thoughts, 1 month free Claude Pro on usSee more
WorkDL logo mark

The CMA Evolution Strategy: A Tutorial

About

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.

Nikolaus Hansen• 2016

Related benchmarks

TaskDatasetResultRank
Circuit OptimizationFDDSD Gm circuit
Figure of Merit (FoM)7.23
25
Circuit OptimizationBandgap circuit
FoM6.28
25
Black-box OptimizationBBOB d=100
F41.68e+3
25
Circuit OptimizationThree-stage circuit
FoM6.76
25
Circuit OptimizationTwo-stage circuit
FoM6.33
25
Circuit OptimizationCharge Pump circuit
FoM18.05
25
Circuit OptimizationLDO circuit
FoM10.0217
25
NavigationMiniWorld FourRooms
Success Rate79.7
15
Preference LearningDriving Simulated
Alignment0.928
15
NavigationMiniWorld MazeS3
Success Rate23.8
14
Showing 10 of 61 rows

Other info

Follow for update