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‎README.md‎

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Collection of optimisation problems and benchmark suites with information about high level properties like the type of decision variables, number of objectives, and the presence of constraints. Where available references to papers describing the problem and implementations are included.
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## Contributing
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Contributions and corrections are very welcome, through pull requests, issue reporting, or email.
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Contributions and corrections are very welcome, through pull requests, issue reporting, or email.
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If you want to provide a problem/suite/generator, you can also do so via this [form](https://docs.google.com/forms/d/e/1FAIpQLSehQp24AuFAH2j9jizDhq8K_BYgNGMKXWTMu6s-2RwEJrK59Q/viewform?usp=sharing&ouid=107462254722022409950).
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### Details to provide
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It is often far easier for the creator of a problem/suite/generator, or someone working with it, to provide details about it than for someone new to it. Currently, the following specific details are being collected:

‎docs/header.html‎

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<h2>OPL &ndash; Optimisation problem library</h2>
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<p>
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Submit problems and corrections on <a target="_blank" href="https://github.com/OpenOptimizationOrg/OPL/">GitHub</a> with pull requests / issues, or by email: <a href="mailto:koen.van.der.blom@cwi.nl" itemprop="email">koen.van.der.blom@cwi.nl</a>
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Submit problems and corrections on <a target="_blank" href="https://github.com/OpenOptimizationOrg/OPL/">GitHub</a> with pull requests / issues, through the <a target="_blank" href="https://docs.google.com/forms/d/e/1FAIpQLSehQp24AuFAH2j9jizDhq8K_BYgNGMKXWTMu6s-2RwEJrK59Q/viewform">Google form</a>, or by email: <a href="mailto:koen.van.der.blom@cwi.nl" itemprop="email">koen.van.der.blom@cwi.nl</a>
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</p>

‎docs/index.html‎

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<h2>OPL &ndash; Optimisation problem library</h2>
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<p>
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Submit problems and corrections on <a target="_blank" href="https://github.com/OpenOptimizationOrg/OPL/">GitHub</a> with pull requests / issues, or by email: <a href="mailto:koen.van.der.blom@cwi.nl" itemprop="email">koen.van.der.blom@cwi.nl</a>
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Submit problems and corrections on <a target="_blank" href="https://github.com/OpenOptimizationOrg/OPL/">GitHub</a> with pull requests / issues, through the <a target="_blank" href="https://docs.google.com/forms/d/e/1FAIpQLSehQp24AuFAH2j9jizDhq8K_BYgNGMKXWTMu6s-2RwEJrK59Q/viewform">Google form</a>, or by email: <a href="mailto:koen.van.der.blom@cwi.nl" itemprop="email">koen.van.der.blom@cwi.nl</a>
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</p>
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<table class="dataframe display compact display styled-table" id="problems">
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<thead>
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<td><a href="https://doi.org/10.1145/3449726.3459521" target="_blank">https://doi.org/10.1145/3449726.3459521</a></td>
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<td>None</td>
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</tr>
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<tr>
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<td>PorkchopPlotInterplanetaryTrajectory</td>
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<td></td>
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<td>suite</td>
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<td>1</td>
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<td>2</td>
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<td>continuous</td>
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<td>no</td>
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<td>no</td>
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<td>no</td>
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<td>no</td>
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<td>real-world</td>
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<td><a href="https://doi.org/10.1109/CEC65147.2025.11042973" target="_blank">https://doi.org/10.1109/CEC65147.2025.11042973</a></td>
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<td><a href="https://github.com/ShuaiqunPan/Transfer_Random_forests_BBOB_Real_world" target="_blank">https://github.com/ShuaiqunPan/Transfer_Random_forests_BBOB_Real_world</a></td>
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</tr>
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<tr>
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<td>KinematicsRobotArm</td>
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<td></td>
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<td>suite</td>
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<td>1</td>
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<td>21</td>
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<td>continuous</td>
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<td>no</td>
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<td>no</td>
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<td>no</td>
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<td>no</td>
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<td>real-world</td>
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<td><a href="https://doi.org/10.1023/A:1013258808932" target="_blank">https://doi.org/10.1023/A:1013258808932</a></td>
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<td><a href="https://github.com/ShuaiqunPan/Transfer_Random_forests_BBOB_Real_world" target="_blank">https://github.com/ShuaiqunPan/Transfer_Random_forests_BBOB_Real_world</a></td>
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</tr>
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<tr>
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<td>VehicleDynamics</td>
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<td></td>
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<td>suite</td>
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<td>1</td>
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<td>2</td>
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<td>continuous</td>
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<td>no</td>
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<td>no</td>
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<td>no</td>
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<td>no</td>
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<td>real-world</td>
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<td><a href="https://www.scitepress.org/Papers/2023/121580/121580.pdf" target="_blank">https://www.scitepress.org/Papers/2023/121580/121580.pdf</a></td>
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<td><a href="https://zenodo.org/records/8307853" target="_blank">https://zenodo.org/records/8307853</a></td>
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</tr>
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</tbody>
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<tfoot><tr><th>name</th> <th>textual description</th> <th>suite/generator/single</th> <th>objectives</th> <th>dimensionality</th> <th>variable type</th> <th>constraints</th> <th>dynamic</th> <th>noise</th> <th>multi-fidelity</th> <th>source (real-world/artificial)</th> <th>reference</th> <th>implementation</th></tr> </tfoot></table>
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<script>
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new DataTable('#problems', {
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layout: {
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topStart: null,
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topStart: 'search',
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topEnd: null,
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bottomStart: 'info',
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bottom: 'paging',

‎docs/javascript.html‎

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<script>
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new DataTable('#problems', {
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layout: {
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topStart: null,
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topStart: 'search',
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topEnd: null,
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bottomStart: 'info',
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bottom: 'paging',

‎docs/problems.html‎

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<td><a href="https://doi.org/10.1145/3449726.3459521" target="_blank">https://doi.org/10.1145/3449726.3459521</a></td>
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<td>None</td>
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</tr>
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<tr>
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<td>PorkchopPlotInterplanetaryTrajectory</td>
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<td></td>
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<td>suite</td>
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<td>1</td>
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<td>2</td>
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<td>continuous</td>
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<td>no</td>
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<td>no</td>
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<td>no</td>
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<td>no</td>
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<td>real-world</td>
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<td><a href="https://doi.org/10.1109/CEC65147.2025.11042973" target="_blank">https://doi.org/10.1109/CEC65147.2025.11042973</a></td>
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<td><a href="https://github.com/ShuaiqunPan/Transfer_Random_forests_BBOB_Real_world" target="_blank">https://github.com/ShuaiqunPan/Transfer_Random_forests_BBOB_Real_world</a></td>
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</tr>
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<tr>
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<td>KinematicsRobotArm</td>
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<td></td>
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<td>suite</td>
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<td>1</td>
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<td>21</td>
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<td>continuous</td>
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<td>no</td>
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<td>no</td>
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<td>no</td>
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<td>no</td>
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<td>real-world</td>
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<td><a href="https://doi.org/10.1023/A:1013258808932" target="_blank">https://doi.org/10.1023/A:1013258808932</a></td>
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<td><a href="https://github.com/ShuaiqunPan/Transfer_Random_forests_BBOB_Real_world" target="_blank">https://github.com/ShuaiqunPan/Transfer_Random_forests_BBOB_Real_world</a></td>
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</tr>
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<tr>
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<td>VehicleDynamics</td>
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<td></td>
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<td>suite</td>
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<td>1</td>
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<td>2</td>
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<td>continuous</td>
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<td>no</td>
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<td>no</td>
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<td>no</td>
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<td>no</td>
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<td>real-world</td>
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<td><a href="https://www.scitepress.org/Papers/2023/121580/121580.pdf" target="_blank">https://www.scitepress.org/Papers/2023/121580/121580.pdf</a></td>
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<td><a href="https://zenodo.org/records/8307853" target="_blank">https://zenodo.org/records/8307853</a></td>
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</tr>
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</tbody>
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<tfoot><tr><th>name</th> <th>textual description</th> <th>suite/generator/single</th> <th>objectives</th> <th>dimensionality</th> <th>variable type</th> <th>constraints</th> <th>dynamic</th> <th>noise</th> <th>multi-fidelity</th> <th>source (real-world/artificial)</th> <th>reference</th> <th>implementation</th></tr> </tfoot></table>

‎problems.yaml‎

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noise: 'no'
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multimodal: 'yes'
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multi-fidelity: 'no'
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reference: https://ieeexplore.ieee.org/abstract/document/11042973
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reference: https://doi.org/10.1109/CEC65147.2025.11042973
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implementation: https://github.com/ShuaiqunPan/Transfer_Random_forests_BBOB_Real_world
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source (real-world/artificial): 'real-world'
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textual description: ''
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- name: KinematicsRobotArm
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- name: KinematicsRobotArm
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suite/generator/single: suite
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objectives: '1'
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dimensionality: 21
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noise: 'no'
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multimodal: 'no'
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multi-fidelity: 'no'
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reference: https://gaussianprocess.org/gpml/chapters/RW.pdf
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reference: https://doi.org/10.1023/A:1013258808932
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implementation: https://github.com/ShuaiqunPan/Transfer_Random_forests_BBOB_Real_world
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source (real-world/artificial): 'real-world'
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textual description: ''

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