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Found 4 papers, 1 papers with code
When and Why Metaheuristics Researchers Can Ignore "No Free Lunch" Theorems
This paper argues that NFL results continue to be misunderstood by many researchers, and addresses this issue in several ways.
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets
We examine two fitness functions from previous studies and develop two new fitness functions to evolve GP classifier with superior accuracy on the minority class and overall.
Collective Anomaly Detection based on Long Short Term Memory Recurrent Neural Network
Most of the cur- rent research on anomaly detection is based on the learning of normally and anomaly behaviors.
PonyGE2: Grammatical Evolution in Python
Grammatical Evolution (GE) is a population-based evolutionary algorithm, where a formal grammar is used in the genotype to phenotype mapping process.
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