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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 2 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
GECCO
2009
Springer
15 years 4 months 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
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
15 years 4 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
GECCO
2009
Springer
254views Optimization» more  GECCO 2009»
15 years 4 months ago
Agglomerative genetic algorithm for clustering in social networks
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ...
Marek Lipczak, Evangelos E. Milios
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 4 months ago
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems
Hyper-heuristics can be thought of as “heuristics to choose heuristics”. They are concerned with adaptively finding solution methods, rather than directly producing a solutio...
Gabriela Ochoa, Rong Qu, Edmund K. Burke