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CEC
2010
IEEE
13 years 9 months ago
Geometric Nelder-Mead Algorithm for the permutation representation
The Nelder-Mead Algorithm (NMA) is an almost half-century old method for numerical optimization, and it is a close relative of Particle Swarm Optimization (PSO) and Differential Ev...
Alberto Moraglio, Julian Togelius
SWARM
2008
SPRINGER
222views Optimization» more  SWARM 2008»
13 years 8 months ago
Biologically inspired redistribution of a swarm of robots among multiple sites
We present a biologically inspired approach to the dynamic assignment and reassignment of a homogeneous swarm of robots to multiple locations, which is relevant to applications lik...
M. Ani Hsieh, Ádám M. Halász,...
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
13 years 7 months ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti
GECCO
2009
Springer
174views Optimization» more  GECCO 2009»
13 years 6 months ago
Shape grammars and grammatical evolution for evolutionary design
We describe the first steps in the adoption of Shape Grammars with Grammatical Evolution for application in Evolutionary Design. Combining the concepts of Shape Grammars and Genet...
Michael O'Neill, John Mark Swafford, James McDermo...
ICASSP
2011
IEEE
13 years 7 days ago
SVM feature selection for multidimensional EEG data
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
Nisrine Jrad, Ronald Phlypo, Marco Congedo