This folder contains the complete results of the three-algorithm comparison (GLODS, NOMAD, and GLODS-SI) used in the accompanying paper:
J. F. A. Madeira, GLODS-SI: Scale-Invariant Global-Local Direct Search for Engineering Design Optimization, Journal of Computational Design and Engineering, 2026. Manuscript ID JCDE-2026-065.
The following PDF files correspond directly to the figures in the paper:
Profile_3way_baseline_BEST.pdf— Figure 3 (κ = 1)Profile_3way_extreme_BEST.pdf— Figure 4 (κ = 10⁸)Profile_3way_halton_oscillatory_BEST.pdf— Figure 5 (κ = 10⁶)Profile_3way_spatial_thermal_BEST.pdf— Figure 6 (κ ≈ 9 × 10⁴)
Profiles for the four scaling strategies not shown in the paper are also provided for completeness:
Profile_3way_moderate_BEST.pdf(κ = 10⁴)Profile_3way_progressive_BEST.pdf(κ = 10⁶)Profile_3way_sobol_oscillatory_BEST.pdf(κ = 10⁶)Profile_3way_sobol_digit_oscillatory_BEST.pdf(κ = 10⁸)
For each scaling regime, an ASCII summary file reports success rates at selected evaluation budgets:
Summary_3way_<strategy>_BEST.txt(one per strategy, eight files)
These files use the same performance criterion as the data profiles:
a problem p is considered solved at evaluation k for algorithm a
when
H(k, p, a) <= f_min(p) + tau * (f_0(p) - f_min(p)), tau = 1e-5,
with f_min(p) taken as the joint minimum across all three algorithms.
latex_table_3way.tex
Auto-generated LaTeX source containing two tables: final success rates across all eight strategies, and success rates at three reference budgets (500, 2000, 20000 function evaluations).
All files were generated by the script
profile_GLODS_vs_NOMAD_vs_GLODSSI_all_strategies.m (located in the
local working directory used to produce the paper) from the raw
optimization runs in results_GLODS_*_BEST/,
results_GLODS_SI_*_BEST/, and results_NOMAD_*_BEST/. The pipeline
is deterministic: rerunning with the same benchmark suite and the
default parameters listed in parameters_glods_si.m reproduces these
files exactly.