feat: Add example EMDO problem

Manual translation of the EMDO problem from the old problems.yaml file to the
new format to check if schema supports storing all information from old format.

Author: olafmersmann

examples/emdo.py

@@ -0,0 +1,83 @@
+from pydoc import describe
+from opltools import Library, Problem, Implementation
+from pydantic_yaml import to_yaml_str
+
+#! - name: Electric Motor Design Optimization
+#!   suite/generator/single: Single Problem
+#!   variable type: Continuous, Integer
+#!   dimensionality: '13'
+#!   objectives: '1'
+#!   constraints: 'yes'
+#!   dynamic: 'no'
+#!   noise: 'yes'
+#!   multimodal: 'yes'
+#!   multi-fidelity: 'no'
+#!   source (real-world/artificial): Real-World Application
+#!   implementation: Implementation not freely available
+#!   textual description: The goal is to find a design of a synchronous electric motor
+#!     for power steering systems that minimizes costs and satisfies all constraints.
+#!   reference: https://dis.ijs.si/tea/Publications/Tusar23Multistep.pdf (paper in Slovene)
+#!   other info:
+#!     partial evaluations: 'no'
+#!     full name: Electric Motor Design Optimization
+#!     constraint properties: Hard Constraints, Soft Constraints, Box Constraints
+#!     number of constraints: '12'
+#!     description of multimodality: Constraints are multimodal
+#!     key challenges / characteristics: Time-consuming solution evaluation, highly-constrained
+#!       problem
+#!     scientific motivation: Challenging to find good solutions in a limited time
+#!     limitations: 'Unavailability, even if available, it wouldn''t be helpful to use
+#!       for benchmarking due taking a long time to evaluate a single solution '
+#!     implementation languages: Python
+#!     approximate evaluation time: 8 minutes
+#!     general: This is not an available problem, but could be interesting to show to
+#!       researchers which difficulties appear in real-world problems
+
+l = Library({
+    "impl_emdo":  Implementation(
+        name="Electric Motor Design Optimization",
+        description="Not publicly available",
+        language="python",
+        evaluation_time="8 minutes"
+    ),
+    "fn_emdo":  Problem(
+        name="Electric Motor Design Optimization",
+        description="""# Goal
+Find a design of a synchronous electric motor for power steering systems that minimizes costs and satisfies all constraints.
+
+# Motivation
+Challenging to find good solutions in a limited time
+
+# Key Challenges
+* Time-consuming solution evaluation,
+* highly-constrained problem
+* Constraints are multimodal
+
+This is not an available problem, but could be interesting to show to researchers which difficulties appear in real-world problems""",
+        objectives=[1],
+        variables=[
+            {"type": "continuous", "dim": {"min": None, "max": 13}},
+            {"type": "integer", "dim": {"min": None, "max": 13}},
+        ],
+        modality=["multimodal"],
+        allows_partial_evaluation="no",
+        constraints=[
+            {"type": "box", "hard": "some", "number": 12}
+        ],
+        dynamic_type=["no"],
+        noise_type=["yes"],
+        fidelity_levels=[1],
+        source=["real-world"],
+        references=[
+            {
+                "title": "A Multi-Step Evaluation Process in Electric Motor Design",
+                "lang": "sj",
+                "authors": ["Tea Tušar", "Peter Korošec", "Bogdan Filipič"],
+                "link": {"url": "https://dis.ijs.si/tea/Publications/Tusar23Multistep.pdf"}
+            }
+        ],
+        implementations=["impl_emdo"]
+    )
+})
+
+print(to_yaml_str(l))