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52 changes: 52 additions & 0 deletions template.yaml
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# Please enter the relevant information.
# Fields that are not relevant can be left empty.
- name:
short: BBOB
full: Real-Parameter Black-Box Optimization Benchmarking
suite/generator/single: suite
objectives:
number: '1'
types: single
variables:
types: continuous
conditional: 'no'
dimensionality: scalable
constraints:
present: 'no'
soft: '0'
hard: '0'
boundary/box: 'yes'
permutation: 'no'
dynamic:
present: 'no'
types: ''
noise: 'no'
modality:
types: 'unimodal, multimodal'
evaluations:
multi-fidelity: 'no'
partial possible: 'no'
independent objectives: 'no'
reference:
links:
- https://doi.org/10.1080/10556788.2020.1808977
authors: ''
contact person: ''
implementations:
- name: COCO
link: https://github.com/numbbo/coco
languges: 'C, Python'
evaluation time: 'less than a second'
specific requirements: 'no'
source:
real-world:
degree: ''
open/closed: ''
artificial: 'yes'
other: 'no'
textual description:
general info: ''
motivation: 'evaluate algorithm performance for typical difficulties that occur in continuous problems'
challenage/key characteristics: ''
limitations: ''
other info: ''