Draft template based on new schema#166
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kvdblom
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Apr 21, 2026
| max: 5 | ||
| objectives: # For objectives, also indicate the number, either as an integer, list or range | ||
| - 1 | ||
| constraints: #constraints refers to hard constrains (violations don't have a true fitness value) |
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If we make this distinction I would just call this hard_constraints explicitly, to match with soft_constraints
| - 1 | ||
| constraints: #constraints refers to hard constrains (violations don't have a true fitness value) | ||
| #Similar to variables, specify for each type of constraints the number, list, or a range. | ||
| box: 1 |
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It would be nice to have an easy way to say all variables are box constrained
| max: 5 | ||
| objectives: # For objectives, also indicate the number, either as an integer, list or range | ||
| - 1 | ||
| constraints: #constraints refers to hard constrains (violations don't have a true fitness value) |
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How can I specify that constraints are equality or inequality?
| can_evaluate_objectives_independently: yes / no / some # Can objective functions be evaluated independently of each other yes, no or some | ||
| code_examples: null #Link to a code example in the OPL repository | ||
| description: lorem ipsum #Textual description of the problem/suite/generator | ||
| dynamic_type: null #If the problem is dynamic, specify the type of dynamics. If not, enter null. |
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It would be good to be able to distinguish between an explicit 'no' there are no dynamic properties, and 'unknown' (whoever added it does not know, if someone knows they should update it).
kvdblom
reviewed
Apr 21, 2026
| dynamic_type: null #If the problem is dynamic, specify the type of dynamics. If not, enter null. | ||
| fidelity_levels: 1 #Number of fidelity levels, if applicable. If not, enter 1. | ||
| modality: null #list of modalities (e.g. unimodal, multimodal) | ||
| noise_type: null #type of noise (e.g. additive, multiplicative, heteroscedastic) |
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Same as for dynamic, an explicit no / unknown would be nice
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