Titre :

On the Impact of a Small Initial Population Size in the IPOP Active CMA-ES with Mirrored Mutations on the Noiseless BBOB Testbed

Auteur(s) :

Brockhoff, Dimo [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Auger, Anne [Auteur]
Machine Learning and Optimisation [TAO]
Hansen, Nikolaus [Auteur]
Machine Learning and Optimisation [TAO]

Titre de la manifestation scientifique :

GECCO Companion '12

Ville :

Philadelphia, PA

Pays :

Etats-Unis d'Amérique

Date de début de la manifestation scientifique :

2012-07-07

Date de publication :

2012-07-07

Discipline(s) HAL :

Informatique [cs]/Réseau de neurones [cs.NE]

Résumé en anglais : [en]

Active Covariance Matrix Adaptation and Mirrored Mutations have been independently proposed as improved variants of the well-known optimization algorithm Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for numerical ...
Lire la suite >Active Covariance Matrix Adaptation and Mirrored Mutations have been independently proposed as improved variants of the well-known optimization algorithm Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for numerical optimization. This paper investigates the impact of the algorithm's population size when both active covariance matrix adaptation and mirrored mutation are used in the CMA-ES. To this end, we compare the CMA-ES with standard population size $\lambda$, i.e., $\lambda = 4 + \lfloor 3\log(D) \rfloor$ with a version with half this population size where $D$ is the problem dimension.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL