Progressive Multi-Objective Architecture Search

This release stabilizes the core architecture synthesis engine and introduces Progressive Pareto Beam Widening, a depth-aware search strategy that significantly improves multi-objective approximation under constrained evaluation budgets.

Progressive Pareto Beam (NEW):

• Introduces depth-aware beam widening
• Prevents early-stage pruning bottlenecks
• Dramatically improves Pareto frontier recovery
• Achieves near 100% coverage under moderate budget in dense search spaces

Robust Multi-Objective Evaluation:

• Coverage metric
• Hypervolume loss
• Average regret (cost, latency, reliability)
• Multi-run stochastic random baseline

Structured Search Evolution:

• Scalar Beam
• System Score Beam
• Pareto-Aware Partial Beam (V1, V2, V3)
• Progressive Beam Widening

Stress-Tested on Dense Pareto Landscapes:

• 5-stage architecture synthesis
• Up to 95-point true Pareto frontier
• Budget sweep across 20–180 evaluations
• Beam width sweep 3–15

Progressive Beam demonstrates structural dominance over static beam variants.

ChatCortex v0.3.0 – Phase 3 Baseline

Phase 3 – Budget-Aware Multi-Objective Synthesis

Highlights:

• Budget-aware synthesis abstraction
• Greedy, Random, and Beam search implementations
• Exact Pareto frontier computation
• Hypervolume loss, coverage, and regret metrics
• 72-architecture scaling experiment
• Empirical analysis of scalar beam pruning irreversibility

This release establishes the experimental baseline prior to Phase 4 multi-objective-aware search.