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» An Artificial Chemistry for Networking
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CEC
2009
IEEE
16 years 1 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
162
Voted
ECAI
2004
Springer
16 years 2 days ago
Using Constraints with Memory to Implement Variable Elimination
Abstract. Adaptive consistency is a solving algorithm for constraint networks. Its basic step is variable elimination: it takes a network as input, and producesan equivalent networ...
Martí Sánchez, Pedro Meseguer, Javie...
ICAISC
2004
Springer
16 years 2 days ago
Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
Balazs Feil, János Abonyi, Peter Pach, Sand...
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 10 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
EVOW
2006
Springer
15 years 10 months ago
Optimal Broadcasting in Metropolitan MANETs Using Multiobjective Scatter Search
Mobile Ad-hoc Networks (MANETs) are composed of a set of communicating devices which are able to spontaneously interconnect without any pre-existing infrastructure. In such scenari...
Francisco Luna, Antonio J. Nebro, Bernabé D...