- MultiObjectiveFitness: weighted scoring, NSGA-II Pareto ranking, crowding distance - FitnessWeights: configurable accuracy/latency/cost weights with auto-normalization - ExtendedStrategyTuner: multi-dim Bayesian optimization (temperature, max_iterations, top_k, retrieval_mode) - ExtendedStrategyConfig: expanded parameter space - 20 tests passing |
||
|---|---|---|
| .. | ||
| integration | ||
| unit | ||
| __init__.py | ||
| conftest.py | ||