The AMS analyzes optimization problems and recommends the best method: - ProblemProfiler: Static analysis of config (dimensions, objectives, constraints) - EarlyMetricsCollector: Dynamic analysis from FEA trials (smoothness, correlations) - AdaptiveMethodSelector: Rule-based scoring for method recommendations - RuntimeAdvisor: Mid-run monitoring for method pivots Key features: - Analyzes problem characteristics (n_variables, n_objectives, constraints) - Computes response smoothness and variable sensitivity from trial data - Recommends TURBO, HYBRID_LOOP, PURE_FEA, or GNN_FIELD - Provides confidence scores and suggested parameters - CLI: python -m optimization_engine.method_selector <config> [db] Documentation: - Add SYS_15_METHOD_SELECTOR.md protocol - Update CLAUDE.md with new system protocol reference 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
31 KiB
31 KiB