Published April 15, 2021
| Version v1
Dataset
Open
Data for "Optimal Static Mutation Strength Distributions for the (1+λ) Evolutionary Algorithm on OneMax"
Description
This collection contains the data (and the copy of the code that generated that data) for the paper "Optimal Static Mutation Strength Distributions for the (1+λ) Evolutionary Algorithm on OneMax" accepted for the GECCO 2021 conference.
The files are:
- one-plus-lambda-on-onemax.tar.gz: the source code to reproduce the experiments.
- algorithm-expectations-flat.csv: the expected running times of various \((1+\lambda)\) algorithms, including the one that uses optimal distributions.
- static-N-distributions.csv: the distributions optimized by CMA-ES, where N is the problem size.
- static-N-distribution-stddev.csv: maximum deviation between the distributions over the "accepted" runs.
- static-N-deviations.csv: the sorted deviations of the outcomes of distribution optimization compared to the best achieved runs.
- static-N-summary.csv: the expected running times of the \((1+\lambda)\) EA using the optimal distribution.
- static-N-fitness-log.csv: fitness traces from the optimization runs.
Files
algorithm-expectations-flat.csv
Files
(172.1 MB)
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Additional details
Related works
- Is part of
- Conference paper: 10.1145/3449639.3459389 (DOI)
- Preprint: arXiv:2102.04944 (arXiv)