Published April 11, 2022 | Version v2
Dataset Open

COCO BBOB-constrained Benchmark Results of Two Evolution Strategy Variants

Authors/Creators

  • 1. Vorarlberg University of Applied Sciences

Description

The three zip-files of this data set provide the performance data of the algorithms presented in the paper "Benchmarking 𝜖MAg-ES and BP-𝜖MAg-ES on the bbob-constrained Testbed" submitted to the GECCO 2022 Workshop "BBOB 2022 — Black Box Optimization Benchmarking 2022".

  • coco2.6.2_bbob-constrained_epsMAg.zip <-- results of the 𝜖MAg-ES on COCO version 2.6.2
  • coco2.6.2_bbob-constrained_BPepsMAg.zip <-- results of the BP-𝜖MAg-ES on COCO version 2.6.2
  • coco2.6.2_bbob-constrained_fmincon.zip <-- results of FMINCON (Matlab 2021b) on COCO version 2.6.2

 

Files

coco2.6.2_bbob-constrained_BPepsMAg.zip

Files (118.7 MB)

Name Size Download all
md5:e8f57a403d1426b7ad3e52d1e5b347db
59.6 MB Preview Download
md5:cfee7ff89afd151cf0bbd85d01eb06f4
42.6 MB Preview Download
md5:4b00328ebb19235986e9c996540ae055
16.5 MB Preview Download

Additional details

Funding

FWF Austrian Science Fund
Evolutionary Global Optimization P 33702