36 citations · 236 across the 52 of their papers we have counts for
8 papers · 1 filter
GUIDE: Unifying Evolutionary Engines through a Graphical User Interface
Pierre Collet, Marc Schoenauer
Many kinds of Evolutionary Algorithms (EAs) have been described in the literature since the last 30 years. However, though most of them share a common structure, no existing softwa…
Identification of the Isotherm Function in Chromatography Using CMA-ES
Mohamed Jebalia, Anne Auger, Marc Schoenauer +2
This paper deals with the identification of the flux for a system of conservation laws in the specific example of analytic chromatography. The fundamental equations of chromatograp…
Optimising the topology of complex neural networks
Fei Jiang, Hugues Berry, Marc Schoenauer
In this paper, we study instances of complex neural networks, i.e. neural netwo rks with complex topologies. We use Self-Organizing Map neural networks whose n eighbourhood relatio…
Evolutionary Mesh Numbering: Preliminary Results
Francis Sourd, Marc Schoenauer
Mesh numbering is a critical issue in Finite Element Methods, as the computational cost of one analysis is highly dependent on the order of the nodes of the mesh. This paper presen…
Robust Multi-Cellular Developmental Design
Alexandre Devert, Nicolas Bredèche, Marc Schoenauer
This paper introduces a continuous model for Multi-cellular Developmental Design. The cells are fixed on a 2D grid and exchange "chemicals" with their neighbors during the growth p…
Evolving Symbolic Controllers
Nicolas Godzik, Marc Schoenauer, Michèle Sebag
The idea of symbolic controllers tries to bridge the gap between the top-down manual design of the controller architecture, as advocated in Brooks' subsumption architecture, and th…
Ensemble Learning for Free with Evolutionary Algorithms ?
Christian Gagné, Michèle Sebag, Marc Schoenauer +1
Evolutionary Learning proceeds by evolving a population of classifiers, from which it generally returns (with some notable exceptions) the single best-of-run classifier as final re…
Self-adaptive Gossip Policies for Distributed Population-based Algorithms
J. L. J. Laredo, E. A. Eiben, M. Schoenauer +4
Gossipping has demonstrate to be an efficient mechanism for spreading information among P2P networks. Within the context of P2P computing, we propose the so-called Evolvable Agent…