15 citations · 18 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
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…