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51 changes: 51 additions & 0 deletions template.yaml
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# Please enter the relevant information.
# Fields that are not relevant can be removed (delete the whole line), or left empty.
- name:
short: BBOB
full: Real-Parameter Black-Box Optimization Benchmarking
suite/generator/single: suite
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I still think it would be best to enter problems separately, but I understand the necessity of streamlining this process. So if we want to allow entering suites, maybe we have different templates? Because some values might only make sense for a suite? Otherwise, for a suite, a lot of the input would be "varies" for number of objectives, variables, constraints, dynamic, noise, etc?

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Yes, it would be nice to have problems separately, I have also prototyped how it might work to have both the suite and component problems, see here:

OPL/problems.yaml

Line 1107 in 84b34b6

problems:

I am not sure about separate templates for suites or problems, but we can think about this and discuss what makes sense. I would imagine, e.g., the BBOB sphere still has a bunch of "varies", because it is scalable in the number of variables for example. For a suite, I would want an exhaustive list (e.g., noise: yes, no / optional, or something like that) of the options, rather than a vague "varies". I will describe this in a comment in the template.

objectives:
number: '1' # Can be scalable, enter a single number, a range: '1-5', or 'scalable', if it can be any value
variables:
types: continuous # Can be one or more of (continuous, integer, binary, categorical, mixed) in case of mixed, describe which mixes are possible
conditional: 'no'
dimensionality: scalable
constraints:
present: 'no'
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This is confusing to enter, because they have boundary/box: yes.
I would suggest removing present, it should be clear from the rest of the values.

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Yes, makes sense, we can also automatically derive the 'present' field from other fields later if we need it.

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Actually, for backwards compatibility with the existing template it might make sense to keep it for the moment. What do you think @CIGbalance

soft: '0'
hard: '0'
boundary/box: 'yes'
permutation: 'no'
dynamic:
present: 'no' # Enter, yes, no, or optional
types: ''
noise: 'no'
modality:
types: 'unimodal, multimodal' # Enter all that are present
evaluations:
multi-fidelity: 'no'
partial possible: 'no'
independent objectives: 'no'
reference:
links:
- https://doi.org/10.1080/10556788.2020.1808977
authors: 'Nikolaus Hansen, Anne Auger, Raymond Ros, Olaf Mersmann, Tea Tušar, Dimo Brockhoff'
contact person: ''
implementations:
- name: COCO
link: https://github.com/numbbo/coco
languages: 'C, Python'
evaluation time: 'less than a second'
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This is going to be wild to analyse if we don't give some structure

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What would you suggest? @CIGbalance

My initial idea would be to ask for something like:
Enter approximate time with units and greater/less than symbol if relevant, e.g.: <1s, or 2h5m3s

Are there good standards we can refer to/use?

specific requirements: 'no' # Can be things like memory/GPU requirements, or the need for a specific simulator. Enter 'no' if none.
source:
real-world:
domain: '' # E.g., automotive
open/closed: '' # Is the problem open source or not
artificial: 'yes'
other: 'no'
textual description:
general info: ''
motivation: 'evaluate algorithm performance for typical difficulties that occur in continuous problems'
challenge/key characteristics: ''
limitations: ''
other info: ''