On the Impact of a Small Initial Population ...
Document type :
Communication dans un congrès avec actes
DOI :
Title :
On the Impact of a Small Initial Population Size in the IPOP Active CMA-ES with Mirrored Mutations on the Noiseless BBOB Testbed
Author(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]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Auger, Anne [Auteur]
Machine Learning and Optimisation [TAO]
Hansen, Nikolaus [Auteur]
Machine Learning and Optimisation [TAO]
Conference title :
GECCO Companion '12
City :
Philadelphia, PA
Country :
Etats-Unis d'Amérique
Start date of the conference :
2012-07-07
Publication date :
2012-07-07
HAL domain(s) :
Informatique [cs]/Réseau de neurones [cs.NE]
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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