Noisy optimization by evolution strategies with online population size learning

Z Li, S Zhang, X Cai, Q Zhang, X Zhu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Optimization modeling of real-world application problems usually involves noise from
various sources. Noisy optimization imposes challenges to optimization methods since the …

Analysis of different types of regret in continuous noisy optimization

S Astete-Morales, ML Cauwet, O Teytaud - Proceedings of the Genetic …, 2016 - dl.acm.org
The performance measure of an algorithm is a crucial part of its analysis. The performance
can be determined by the study on the convergence rate of the algorithm in question. It is …

[PDF][PDF] de l'Université Paris-Saclay préparée à l'Université Paris-Sud

MML Cauwet - researchgate.net
Ces recherches s' inscrivent dans la nécessité de développer de nouvelles méthodes
d'optimisation des systemes électriques. Optimisation du contrôle d'un systeme électrique …

[PDF][PDF] BBOB 2009: Comparison Tables of All Algorithms on All Noisy Functions

AASFN Hansen, R Ros - 2010 - Citeseer
This document presents the results in the form of tables from the Black-Box Optimization
Benchmarking (BBOB) workshop of the Genetic and Evolutionary Computation Conference …