Artificial Evolution
IDOUMGHAR, Lhassane
Institut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 [IRIMAS]
Institut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 [IRIMAS]
LEGRAND, Pierrick
Université de Bordeaux [UB]
Institut de Mathématiques de Bordeaux [IMB]
Méthodes avancées d’apprentissage statistique et de contrôle [ASTRAL]
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Université de Bordeaux [UB]
Institut de Mathématiques de Bordeaux [IMB]
Méthodes avancées d’apprentissage statistique et de contrôle [ASTRAL]
IDOUMGHAR, Lhassane
Institut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 [IRIMAS]
Institut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 [IRIMAS]
LEGRAND, Pierrick
Université de Bordeaux [UB]
Institut de Mathématiques de Bordeaux [IMB]
Méthodes avancées d’apprentissage statistique et de contrôle [ASTRAL]
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Université de Bordeaux [UB]
Institut de Mathématiques de Bordeaux [IMB]
Méthodes avancées d’apprentissage statistique et de contrôle [ASTRAL]
Language
en
Ouvrage
This item was published in
2020, vol. LNCS - Lecture Notes in Computer Science, n° 12052, p. 219
Springer
English Abstract
This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Artificial Evolution, EA 2019, held in Mulhouses, France, in October 2019. The revised papers were carefully ...Read more >
This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Artificial Evolution, EA 2019, held in Mulhouses, France, in October 2019. The revised papers were carefully reviewed and selected from the submissions. The papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co-evolution, artificial life, population dynamics, theory, algorithmics and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences, ...), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural algorithms...), memetic algorithms, multi-objective optimisation, constraint handling, parallel algorithms,, dynamic optimization, machine learning and hybridization with other soft computing techniques.Read less <
Origin
Hal imported