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IJON
2007
118views more  IJON 2007»
15 years 5 months ago
Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm
To predict the 100 missing values from a time series of 5000 data points, given for the IJCNN 2004 time series prediction competition, recurrent neural networks (RNNs) are trained...
Xindi Cai, Nian Zhang, Ganesh K. Venayagamoorthy, ...
GECCO
2009
Springer
116views Optimization» more  GECCO 2009»
15 years 9 months ago
String- and permutation-coded genetic algorithms for the static weapon-target assignment problem
In the Weapon-Target Assignment Problem, m enemy targets are inbound, each with a value Vj representing the damage it may do. The defense has n weapons, and the probability that w...
Bryant A. Julstrom
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 11 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
GECCO
2009
Springer
16 years 12 days ago
Multiobjectivization for parameter estimation: a case-study on the segment polarity network of drosophila
Mathematical modeling for gene regulative networks (GRNs) provides an effective tool for hypothesis testing in biology. A necessary step in setting up such models is the estimati...
Tim Hohm, Eckart Zitzler
ICML
2003
IEEE
16 years 6 months ago
Boosting Lazy Decision Trees
This paper explores the problem of how to construct lazy decision tree ensembles. We present and empirically evaluate a relevancebased boosting-style algorithm that builds a lazy ...
Xiaoli Zhang Fern, Carla E. Brodley