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Outputs (6)

Parameterisation of mutation in evolutionary algorithms using the estimated main effect of genes (2004)
Presentation / Conference Contribution

This paper describes how to estimate the main effect of genes in genetic algorithms (GAs). The resulting estimates can not only be used to understand the domination of genes in a GA but also employed to tailor the mutation rate in the GA. A new appro... Read More about Parameterisation of mutation in evolutionary algorithms using the estimated main effect of genes.

An empirical study on the performance of factorial design based crossover on parametrical problems (2004)
Presentation / Conference Contribution

In the past, empirical studies have shown that factorial design based crossover can outperform standard crossover on parametrical problems. However, up to now, no conclusion has been reached as to what kind of landscape factorial design based crossov... Read More about An empirical study on the performance of factorial design based crossover on parametrical problems.

An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms (2004)
Presentation / Conference Contribution

Epistasis is a measure of interdependence between genes and an indicator of problem difficulty in genetic algorithms. Many researches have concentrated on the epistasis measure in binary coded representation in genetic algorithms. However, a few atte... Read More about An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms.