Problem
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Symbolic Regression | Problem Extrapolation E7 | MSE0.036 | 12 | |
| Engineering Inverse Problem Optimization | Problem 3 State Dimension: 30 | Failure Times0 | 9 | |
| Symbolic Regression | Problem E12 Extrapolation | MSE0 | 8 | |
| Structural Weight Optimization | Problem 1 | Min Weight (lb)193.199 | 6 | |
| Weight Minimization | Problem 3 1000 run solutions | Min Weight2,232 | 5 | |
| Distributed Optimization | Problem Strongly-convex 2 | Communication Cost2 | 4 | |
| Distributed Optimization | Problem Nonconvex objective functions | Computational Cost1 | 3 | |
| Ordinary Differential Equation Discovery | Problem 3 (test) | Total CPU Time (s)6.848 | 2 | |
| Ordinary Differential Equation Discovery | Problem 2 (test) | Total CPU Time (s)6.781 | 2 | |
| Quantum Stochastic Non-convex Optimization | Problem 2 Non-convex, Bounded Variance | Metric- | 0 |
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