Published April 15, 2021 | Version v1
Dataset Open

Data for "Optimal Static Mutation Strength Distributions for the (1+λ) Evolutionary Algorithm on OneMax"

  • 1. ITMO University
  • 2. Sorbonne Université

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)