Surrogate-assisted optimization on CA1 AAC (Axo-axonic cell)
1.46Normalized HypervolumeOptimal
Evaluation Results
| Method | Links | |
|---|---|---|
| OptimalSurrogate strategy=Theoretical Maximum2026.03 | 1.46 | |
| megpSurrogate strategy=Multi-Expert Gaussian Process, Optimization epochs=25, Number of trials=32026.03 | 1.367 | |
| c+oSurrogate strategy=joint constraint-and-objective neural networks, Optimization epochs=25, Number of trials=32026.03 | 1.366 | |
| MeanSurrogate strategy=Mean of surrogates, Optimization epochs=25, Number of trials=32026.03 | 1.366 | |
| oSurrogate strategy=objective-only neural networks, Optimization epochs=25, Number of trials=32026.03 | 1.365 | |
| gprSurrogate strategy=Gaussian Process Regression, Optimization epochs=25, Number of trials=32026.03 | 1.364 |