| ---
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| title: Optimization Operating System
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| emoji: ⚙️
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| colorFrom: indigo
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| colorTo: blue
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| sdk: gradio
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| sdk_version: "5.50.0"
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| app_file: app.py
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| python_version: "3.12"
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| license: mit
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| short_description: Unified optimization-as-a-service for scheduling, routing, and more
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| tags:
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| - operations-research
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| - optimization
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| - ortools
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| - gradio
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| - enterprise
|
| ---
|
|
|
| # Optimization Operating System
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|
|
| Interactive console for **Optimization-as-a-Service** — solve scheduling, routing, assignment, inventory, facility location, and packing problems with baseline, exact, scalable, and robust methods.
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|
|
| ## Features
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|
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| - **Model Registry** — 6 problem types with standardized input schema
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| - **Solver Registry** — HiGHS, CBC, CP-SAT, and heuristic engines
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| - **Experiment Manager** — full run provenance with gap, bound, and runtime
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| - **Scenario Engine** — capacity, demand, resource, cost, and network stress tests
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| - **Explanation Engine** — binding constraints, shadow prices, what-if analysis
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| - **Benchmark Engine** — cross-method comparison on small/medium/large instances
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|
|
| ## Linked Artifacts
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|
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| - [Instance Dataset](https://huggingface.co/datasets/alirezaaminzadeh/optimization-os-instance-dataset)
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| - [Benchmark Results](https://huggingface.co/datasets/alirezaaminzadeh/optimization-os-benchmark-results)
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| - [Solver Registry](https://huggingface.co/alirezaaminzadeh/optimization-os-solver)
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|
|
