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CMA-ES

Covariance matrix adaptation evolution strategy (CMA-ES) is a particular kind of strategy for numerical optimization. Evolution strategies (ES) are stochastic, derivative-free methods for numerical optimization of non-linear or non-convex continuous optimization problems. They belong to the class of evolutionary algorithms and evolutionary computation.…

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Overview

Principles

Algorithm

Theoretical foundations

Performance in practice

Variations and extensions

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Map overview Semantic statistics

CMA-ES

Nodes79
Edges78
Triples70
Avg. degree1.97
Density0.025316
Components1

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CMA-ES

Top relations

related to Bibliography · 19
CMA-ES → CMA, Completely, Covariance Matrix Adaptation, Evaluating, Evolutionary Computation, Hansen, Igel, In Xin Yao, Kern, Koumoutsakos, Multi-objective Optimization, Müller SD, Nature, Ostermeier, Parallel Problem Solving, PPSN VIII, Reducing, Roth, Springer
related to Variations and extensions · 11
CMA-ES → Another, Cholesky, CMA, For, Gaussian, MO-CMA-ES, Natural Evolution Strategies, Some Natural Evolution Strategies, The, The CMA-ES, Using
related to Natural gradient descent in the space of sample distributions · 8
CMA-ES → Akimoto, Ef, Glasmachers, Natural Evolution Strategies, NES, Taken, The, With
related to Principles · 8
CMA-ES → Also, Both, CMA, Cross-Entropy Method, Estimation, First, The, Two
related to Invariance · 7
CMA-ES → Invariance, More, Rx, Scale-invariance, The, They, This
related to Performance in practice · 6
CMA-ES → Black-Box, In, One, Optionally, The, The CMA-ES
related to Algorithm · 2
CMA-ES → In, The
related to External links · 2
CMA-ES → HansenThe CMA Evolution Strategy, TutorialCMA-ES
related to Stationarity or unbiasedness · 2
CMA-ES → It, Under
related to Theoretical foundations · 2
CMA-ES → Given, More

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Important terminology

displaystyle matrix covariance distribution evolution sigma function lambda update candidate solutions search mean objective algorithm adaptation optimization mu method mathcal

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
CMA-ESis aclose variant of Gaussian adaptation0.90text
CMA-ESrelated to AlgorithmIn0.60section
CMA-ESrelated to AlgorithmThe0.60section
CMA-ESrelated to BibliographyHansen0.60section
CMA-ESrelated to BibliographyOstermeier0.60section
CMA-ESrelated to BibliographyCompletely0.60section
CMA-ESrelated to BibliographyEvolutionary Computation0.60section
CMA-ESrelated to BibliographyMüller SD0.60section
CMA-ESrelated to BibliographyKoumoutsakos0.60section
CMA-ESrelated to BibliographyReducing0.60section
CMA-ESrelated to BibliographyKern0.60section
CMA-ESrelated to BibliographyEvaluating0.60section

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