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» On the Brittleness of Evolutionary Algorithms
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EUROGP
2005
Springer
15 years 12 months ago
Understanding Evolved Genetic Programs for a Real World Object Detection Problem
We describe an approach to understanding evolved programs for a real world object detection problem, that of finding orthodontic landmarks in cranio-facial X-Rays. The approach in...
Victor Ciesielski, Andrew Innes, Sabu John, John M...
EVOW
2005
Springer
15 years 12 months ago
Population Training Heuristics
This work describes a new way of employing problem-specific heuristics to improve evolutionary algorithms: the Population Training Heuristic (PTH). The PTH employs heuristics in ...
Alexandre César Muniz de Oliveira, Luiz Ant...
GCB
2005
Springer
138views Biometrics» more  GCB 2005»
15 years 12 months ago
Inferring Regulatory Systems with Noisy Pathway Information
: With increasing number of pathways available in public databases, the process of inferring gene regulatory networks becomes more and more feasible. The major problem of most of t...
Christian Spieth, Felix Streichert, Nora Speer, An...
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
15 years 12 months ago
Understanding cooperative co-evolutionary dynamics via simple fitness landscapes
Cooperative co-evolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance for such tasks can vary widely from good to disa...
Elena Popovici, Kenneth A. De Jong
ISNN
2005
Springer
15 years 12 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang