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20052022
most citedExploration vs Exploitation vs Safety: Risk-averse Multi-Armed Bandits

54 citations · 227 across the 36 of their papers we have counts for

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Showing cs.NEShow all

5 papers · 1 filter

cs.NE2014

Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES

Ilya Loshchilov, Marc Schoenauer, Michèle Sebag +1

The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is widely accepted as a robust derivative-free continuous optimization algorithm for non-linear and non-convex optimiza…

cs.NE2013★ 9 cited

Sustainable Cooperative Coevolution with a Multi-Armed Bandit

François-Michel De Rainville, Michèle Sebag, Christian Gagné +2

This paper proposes a self-adaptation mechanism to manage the resources allocated to the different species comprising a cooperative coevolutionary algorithm. The proposed approach…

cs.NE2012

Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed

Ilya Loshchilov, Marc Schoenauer, Michèle Sebag

In this paper, we study the performance of IPOP-saACM-ES and BIPOP-saACM-ES, recently proposed self-adaptive surrogate-assisted Covariance Matrix Adaptation Evolution Strategies. B…

cs.NE2012

Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed

Ilya Loshchilov, Marc Schoenauer, Michèle Sebag

In this paper, we study the performance of IPOP-saACM-ES, recently proposed self-adaptive surrogate-assisted Covariance Matrix Adaptation Evolution Strategy. The algorithm was test…

cs.NE2012

Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy

Ilya Loshchilov, Marc Schoenauer, Michèle Sebag

This paper presents a novel mechanism to adapt surrogate-assisted population-based algorithms. This mechanism is applied to ACM-ES, a recently proposed surrogate-assisted variant o…