Artificial Evolution - Inria - Institut national de recherche en sciences et technologies du numérique
Ouvrage (Y Compris Édition Critique Et Traduction) Année : 2020

Artificial Evolution

Arnaud Liefooghe
Nicolas Monmarché
Marc Schoenauer

Résumé

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.

Dates et versions

hal-03175883 , version 1 (21-03-2021)

Identifiants

Citer

Lhassane Idoumghar, Pierrick Legrand, Arnaud Liefooghe, Evelyne Lutton, Nicolas Monmarché, et al. (Dir.). Artificial Evolution. Springer, LNCS - Lecture Notes in Computer Science (12052), pp.219, 2020, Artificial Evolution, 978-3-030-45714-3. ⟨10.1007/978-3-030-45715-0⟩. ⟨hal-03175883⟩
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