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» Adapting binary fitness functions in Genetic Algorithms
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GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
14 years 4 months ago
Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
Chien-Feng Huang, Luis Mateus Rocha
IBPRIA
2007
Springer
14 years 5 months ago
Progressive Compression of Geometry Information with Smooth Intermediate Meshes
We present a new geometry compression algorithm for manifold 3D meshes based on octree coding. For a given mesh, regular volume grids are built with an adaptive octree. For each gr...
Taejung Park, Haeyoung Lee, Chang-hun Kim
TNN
2010
234views Management» more  TNN 2010»
13 years 5 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
GECCO
2003
Springer
14 years 4 months ago
Methods for Evolving Robust Programs
Many evolutionary computation search spaces require fitness assessment through the sampling of and generalization over a large set of possible cases as input. Such spaces seem par...
Liviu Panait, Sean Luke
AWIC
2003
Springer
14 years 4 months ago
Secure Intelligent Agents Based on Formal Description Techniques
This paper describes a practical solution for the incorporation of security services in agents. From a set of basic user requirements, the agents will be able to find out the best ...
L. Mengual, C. de la Puente