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Books Year : 2020

Artificial Evolution

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 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 and versions

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

Identifiers

Cite

Lhassane Idoumghar, Pierrick Legrand, Arnaud Liefooghe, Evelyne Lutton, Nicolas Monmarché, et al. (Dir.). Artificial Evolution: 14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29–30, 2019, Revised Selected Papers. 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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