feat: Add COBI suite as another example

Co-authored-by: Vanessa

Author: olafmersmann

examples/cobi.py

@@ -0,0 +1,62 @@
+from opltools import Implementation, Generator, Reference, Library, Variable, Constraint
+from pydantic_yaml import to_yaml_str
+
+things = {}
+
+things["cobi_impl"] = Implementation(
+    name="COBI Implementation",
+    description="Python library for COBI (COnstrained BI-objective optimization) problem generator",
+    language="python",
+    links=[
+        {
+            "type": "repository",
+            "url": "https://github.com/numbbo/cobi-problem-generator/",
+        },
+        {
+            "type": "v0.5.0",
+            "url": "https://github.com/numbbo/cobi-problem-generator/releases/tag/v0.5.0",
+        },
+    ],
+    requirements="https://github.com/numbbo/cobi-problem-generator/blob/main/requirements.txt",
+)
+
+things["cobi_problem"] = Generator(
+    name="COBI Problem",
+    description="Generator of COnstrained BI-objective optimization problems",
+    tags={
+        "constrained",
+        "bi-objective",
+        "continuous",
+        "black-box",
+        "location",
+        "multi-peak",
+        "convex-quadratic",
+    },
+    references=[
+        Reference(
+            title="Pareto Set Characterization in Constrained Multiobjective Optimization and the COBI Problem Generator",
+            authors=["Anne Auger", "Dimo Brockhoff", "Luka Opravš", "Tea Tušar"],
+            link={"type": "arxiv", "url": "https://arxiv.org/abs/2604.09131"},
+        )
+    ],
+    objectives={2},
+    variables=[Variable(type="continuous", dim={"min": 1})],
+    implementations={"cobi_impl"},
+    can_evaluate_objectives_independently="no",
+    constraints=[
+        # FIXME: Check
+        Constraint(type="box", hard="yes", number={"min": 1}),
+        Constraint(type="linear", hard="yes", number={"min": 1}),
+        Constraint(type="function", hard="yes", number={"min": 1}),
+    ],
+    noise_type={"none"},
+    dynamic_type=None,
+    allows_partial_evaluation="no",
+    modality={"multi-modal per objective"},
+    fidelity_levels={1},
+    source={"artificial"},
+    code_examples={"./code_153.py"},
+)
+library = Library(things)
+
+print(to_yaml_str(library))