GlobalMOO + Meta-Calculus

Expanding Search Spaces for Pareto-Optimal Discovery

David Youssef | December 2024

LOCAL BENCHMARK

CASCADE Search Diagnostic

61.9%

Win Rate

In a local 21-case synthetic benchmark, CASCADE-style transforms reached lower-distance candidates in 13 cases. This is project evidence, not proof, independent validation, or a physical performance guarantee.

13/21

Wins

93.4%

Best Gain

1/r, 1/r^2

Singularities

k=-1

Tested transform

View CASCADE local benchmark →

The Testable Hypothesis

Meta-calculus reparameterizes the search space. The project tests whether that changes finite optimizer behavior near singular objectives without confusing a bounded diagnostic with a physical solution.

Classical: Avoids singularities (numerical overflow)

CASCADE: L_BG[1/r] = -1, D_BG[1/r] = e^-1

Key Project Results

CASCADELocal benchmark (13/21 lower-distance results)

Synthetic project cases; not independent validation or a physical guarantee.

DOMAINS10 modeled domains

Cosmology, Fracture, Climate, Turbulence, Fusion, Molecular, CFD, QFT, GR, Quantum

IDENTITYD_BG[xⁿ] = eⁿ

A published algebraic constancy property, not automatic singularity removal.

See all results

GlobalMOO integration experiments | Research by David Youssef