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» Localization using evolution strategies in sensornets
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SAC
2009
ACM
13 years 11 months ago
A gradient oriented recombination scheme for evolution strategies
This paper proposes a novel recombination scheme for evolutionary algorithms, which can guide the new population generation towards the maximum increase of the objective function....
Haifeng Chen, Guofei Jiang
MDM
2010
Springer
213views Communications» more  MDM 2010»
13 years 3 months ago
Towards Adaptive Sensor Data Management for Distributed Fire Evacuation Infrastructure
— We introduce a novel strategy for data processing in Wireless Sensor Networks (WSNs) in the case of emergency fire evacuation with stringent delay constraints. Such networks sh...
Andrii Cherniak, Vladimir Zadorozhny
SCALESPACE
2009
Springer
13 years 11 months ago
Geodesically Linked Active Contours: Evolution Strategy Based on Minimal Paths
The proposed method is related to parametric and geodesic active contours as well as minimal paths, in the context of image segmentation 1 . Our geodesically linked active contour ...
Julien Mille, Laurent D. Cohen
CEC
2009
IEEE
13 years 11 months ago
Particle Swarm CMA Evolution Strategy for the optimization of multi-funnel landscapes
— We extend the Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) by collaborative concepts from Particle Swarm Optimization (PSO). The proposed Particle Swarm CMA-ES...
Christian L. Müller, Benedikt Baumgartner, Iv...
AE
2005
Springer
13 years 10 months ago
Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...
Anne Auger, Mohamed Jebalia, Olivier Teytaud