AI Chat AI Image Generator AI Video Text to Speech

Two Gaussian Approaches to Black-Box Optomization

11/28/2014

∙

by Lukas Bajer, et al.

∙

∙

Outline of several strategies for using Gaussian processes as surrogate models for the covariance matrix adaptation evolution strategy (CMA-ES).

Lukas Bajer
4 publications
Martin Holena
7 publications

page 1

page 2

page 3

page 4

research

∙ 09/29/2017

Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models

The interest in accelerating black-box optimizers has resulted in severa...

0 Jakub Repicky, et al. ∙

research

∙ 02/11/2022

Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context

Surrogate modeling has become a valuable technique for black-box optimiz...

0 Zbynek Pitra, et al. ∙

research

∙ 10/26/2018

Empirical Evaluation of Contextual Policy Search with a Comparison-based Surrogate Model and Active Covariance Matrix Adaptation

Contextual policy search (CPS) is a class of multi-task reinforcement le...

0 Alexander Fabisch, et al. ∙

research

∙ 06/10/2019

Exploration and Exploitation in Symbolic Regression using Quality-Diversity and Evolutionary Strategies Algorithms

By combining Genetic Programming, MAP-Elites and Covariance Matrix Adapt...

0 J. -P. Bruneton, et al. ∙

research

∙ 06/21/2019

Evolution Attack On Neural Networks

Many studies have been done to prove the vulnerability of neural network...

0 YiGui Luo, et al. ∙

research

∙ 09/21/2016

Using CMA-ES for tuning coupled PID controllers within models of combustion engines

Proportional integral derivative (PID) controllers are important and wid...

0 Katerina Henclova, et al. ∙

research

∙ 03/30/2020

The Hessian Estimation Evolution Strategy

We present a novel black box optimization algorithm called Hessian Estim...

0 Tobias Glasmachers, et al. ∙