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GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
15 years 2 months ago
Structure and parameter estimation for cell systems biology models
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
Francisco José Romero-Campero, Hongqing Cao...
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 6 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
GECCO
2004
Springer
212views Optimization» more  GECCO 2004»
15 years 6 months ago
An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
ICCSA
2007
Springer
15 years 7 months ago
Quasi-hierarchical Evolutionary Algorithm for Flow Optimization in Survivable MPLS Networks
In this paper we address the problem of working paths optimization in survivable MPLS network. We focus on an existing facility network, in which only network flows can be optimize...
Michal Przewozniczek, Krzysztof Walkowiak
RECOMB
2005
Springer
16 years 1 months ago
Reconstruction of Reticulate Networks from Gene Trees
Abstract. One of the simplest evolutionary models has molecular sequences evolving from a common ancestor down a bifurcating phylogenetic tree, experiencing point-mutations along t...
Daniel H. Huson, Tobias H. Klöpper, Pete J. L...