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Add a few new real-world optimization problems for OPL #137

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add a few new real-world optimization problems
Dec 3, 2025
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Merge branch 'main' into add-problems
ShuaiqunPan Jan 8, 2026
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70 changes: 70 additions & 0 deletions problems.yaml
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Expand Up @@ -900,3 +900,73 @@
implementation: https://zenodo.org/records/8307853
source (real-world/artificial): 'real-world'
textual description: ''
- name: RW-GAN-Mario
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@kvdblom kvdblom Jan 8, 2026

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GBEA (which contains Mario-GAN and TopTrumps) is already in the .yaml file as well. I think it is great to have these more detailed descriptions. Two things I think we should do:

  1. Check the details for these two problems match with those of GBEA, and update as needed. (For example: GBEA currently has a questionmark for the multimodal field; It would be good to set that to 'yes', based on the details for the two problems here. Similarly, GBEA does not indicate an implementation yet. Maybe there are other things as well, please check.
  2. Add to the textual description field of GBEA that Mario-GAN and TopTrumps are the component problems. And vice versa, add to the textual description of Mario-GAN and TopTrumps that they are component problems of the GBEA benchmark suite.

suite/generator/single: suite
objectives: 1-2
dimensionality: scalable
variable type: continuous
constraints: 'no'
dynamic: 'no'
noise: 'yes'
multimodal: 'yes'
multi-fidelity: 'no'
reference: https://dl.acm.org/doi/pdf/10.1145/3321707.3321805
implementation: https://codeocean.com/capsule/2600355/tree/v2
source (real-world/artificial): 'real-world'
textual description: ''
- name: TopTrumps
suite/generator/single: suite
objectives: 1-2
dimensionality: scalable
variable type: continuous
constraints: 'no'
dynamic: 'no'
noise: 'yes'
multimodal: 'yes'
multi-fidelity: 'no'
reference: https://dl.acm.org/doi/pdf/10.1145/3321707.3321805
implementation: https://codeocean.com/capsule/2600355/tree/v2
source (real-world/artificial): 'real-world'
textual description: ''
- name: AutomotiveCrashworthiness
suite/generator/single: suite
objectives: '1'
dimensionality: 8–22 (fixed per instance)
variable type: continuous
constraints: 'no'
dynamic: 'no'
noise: 'yes'
multimodal: 'yes'
multi-fidelity: 'no'
reference: https://dl.acm.org/doi/pdf/10.1145/3646554
implementation: https://github.com/fx-long/CEOELA
source (real-world/artificial): 'real-world'
textual description: ''
- name: PowertrainAnomalyTimeseries
suite/generator/single: suite
objectives: 1
dimensionality: 1–7 (problem-dependent; fixed per instance)
variable type: continuous
constraints: 'yes'
dynamic: 'no'
noise: 'no'
multimodal: 'yes'
multi-fidelity: 'no'
reference: https://www.sciencedirect.com/science/article/pii/S2214579625000681
implementation: https://zenodo.org/records/14892756
source (real-world/artificial): 'real-world'
textual description: ''
- name: HPA
suite/generator/single: suite
objectives: 1–9
dimensionality: scalable
variable type: continuous
constraints: 'yes'
dynamic: 'no'
noise: 'no'
multimodal: 'yes'
multi-fidelity: 'no'
reference: https://link.springer.com/chapter/10.1007/978-981-96-3506-1_14
implementation: https://github.com/Nobuo-Namura/hpa
source (real-world/artificial): 'real-world-inspired'
textual description: ''