2026-Feb-06 11:59:21.232236: INFO: Initializing algorithm
2026-Feb-06 11:59:21.233236: INFO: Given seed value: 2238617436825
2026-Feb-06 11:59:21.236236: INFO:  
2026-Feb-06 11:59:21.236236: INFO:  ***** Initialize *****
2026-Feb-06 11:59:21.236236: INFO:  ***** AMOP settings *****
2026-Feb-06 11:59:21.236236: INFO:  Number of inputs 6, objectives 0, constraints 0
2026-Feb-06 11:59:21.237236: INFO:  Number of maximum designs 10, designs init 10, designs adapt 10
2026-Feb-06 11:59:21.237236: INFO:  Use start designs only 0
2026-Feb-06 11:59:21.237236: INFO:  Number of maximum iterations 1, stagnation iterations 3
2026-Feb-06 11:59:21.238236: INFO:  Init Sampling SLHS 0, ALHS 1
2026-Feb-06 11:59:21.238236: INFO:  Global refinement: Adapt Sampling SLHS 0, ALHS 1
2026-Feb-06 11:59:21.239243: INFO:  Target CoP 0.9
2026-Feb-06 11:59:21.239243: INFO:  Consider incomplete designs 1, failed designs 0
2026-Feb-06 11:59:21.239243: INFO:  ***** MOP settings *****
2026-Feb-06 11:59:21.239243: INFO:  Testing type: cross validation 1 Leave-one-out 0
2026-Feb-06 11:59:21.240243: INFO:  CoP tolerance model 0.01 variable 0.01
2026-Feb-06 11:59:21.240243: INFO:  Uniform resampling for single CoPs 0
2026-Feb-06 11:59:21.240243: INFO:  Smoothing 1 interpolation 0
2026-Feb-06 11:59:21.241237: INFO:  Use BoxCox 1
2026-Feb-06 11:59:21.241237: INFO:  Use Polynomial 1 coefficient factor 2 max order 2
2026-Feb-06 11:59:21.241237: INFO:  Use MLS        1 coefficient factor 8 max order 2
2026-Feb-06 11:59:21.241237: INFO:  Use Kriging    1 coefficient factor 8 anisotropic 0
2026-Feb-06 11:59:21.241237: INFO:  Filter: significance 1 CoI 1 CoD 1 Correlation 1
2026-Feb-06 11:59:21.242236: INFO:  Input correlation filter: 0 min correlation 0.3 max correlation 0.7
2026-Feb-06 11:59:21.242236: INFO:  ***** Start designs *****
2026-Feb-06 11:59:21.242236: INFO:  Number of available start designs: 0
2026-Feb-06 11:59:21.242236: INFO:  Use initial sampling
2026-Feb-06 11:59:21.257725: INFO:  
2026-Feb-06 11:59:21.258725: INFO:  ***** Iteration 1: Global Sampling *****
2026-Feb-06 11:59:21.259725: INFO:  Considering 0 previous designs
2026-Feb-06 11:59:21.259725: INFO:  Number of new designs 10
2026-Feb-06 12:14:12.203360: INFO:  
2026-Feb-06 12:14:12.203360: INFO:  ***** Iteration 1: Building MOP *****
2026-Feb-06 12:14:12.205366: INFO:  Design history: ranges Input 0 7 43
2026-Feb-06 12:14:12.206360: INFO:  Design history: ranges Input 1 7 43
2026-Feb-06 12:14:12.207366: INFO:  Design history: ranges Input 2 7 43
2026-Feb-06 12:14:12.207366: INFO:  Design history: ranges Input 3 7 43
2026-Feb-06 12:14:12.209361: INFO:  Design history: ranges Input 4 7 43
2026-Feb-06 12:14:12.209361: INFO:  Design history: ranges Input 5 7 43
2026-Feb-06 12:14:12.211362: INFO:  Design history: Inputs 10 6
2026-Feb-06 12:14:12.212361: INFO:  Design history: Responses 10 2
2026-Feb-06 12:14:12.221360: INFO:  Minimum designs per response : 10
2026-Feb-06 12:14:12.224360: INFO:  Max. responses in parallel: 2
2026-Feb-06 12:14:12.225361: INFO:  Build MOP for response Results.Radiance.Area.RMS_contrast.value with 10 designs
2026-Feb-06 12:14:12.226365: INFO:  Build MOP for response Results.Radiance.Area.Average.value with 10 designs
2026-Feb-06 12:14:12.227364: INFO: Build subspaces for response Results.Radiance.Area.RMS_contrast.value
2026-Feb-06 12:14:12.228360: INFO: Build subspaces for response Results.Radiance.Area.Average.value
2026-Feb-06 12:14:12.235367: INFO: Start metamodel evaluation for response Results.Radiance.Area.Average.value
2026-Feb-06 12:14:12.236360: INFO: Start metamodel evaluation for response Results.Radiance.Area.RMS_contrast.value
2026-Feb-06 12:14:12.237361: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.238362: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.239367: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.240360: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.241360: WARNING: Not enough training points (10) given to build a model with 13 coefficients.
2026-Feb-06 12:14:12.243370: WARNING: Not enough training points (10) given to build a model with 13 coefficients.
2026-Feb-06 12:14:12.244364: WARNING: Not enough training points (10) given to build a model with 22 coefficients.
2026-Feb-06 12:14:12.245370: WARNING: Not enough training points (10) given to build a model with 22 coefficients.
2026-Feb-06 12:14:12.246364: WARNING: Not enough training points (10) given to build a model with 28 coefficients.
2026-Feb-06 12:14:12.253365: WARNING: Not enough training points (10) given to build a model with 28 coefficients.
2026-Feb-06 12:14:12.255364: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.257871: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.258876: WARNING: Not enough training points (10) given to build a model with 9 coefficients.
2026-Feb-06 12:14:12.260887: WARNING: Not enough training points (10) given to build a model with 6 coefficients.
2026-Feb-06 12:14:12.262882: WARNING: Not enough training points (10) given to build a model with 6 coefficients.
2026-Feb-06 12:14:12.263876: WARNING: Not enough training points (10) given to build a model with 11 coefficients.
2026-Feb-06 12:14:12.264882: WARNING: Not enough training points (10) given to build a model with 11 coefficients.
2026-Feb-06 12:14:12.268876: WARNING: Not enough training points (10) given to build a model with 16 coefficients.
2026-Feb-06 12:14:12.269876: WARNING: Not enough training points (10) given to build a model with 21 coefficients.
2026-Feb-06 12:14:12.271877: WARNING: Not enough training points (10) given to build a model with 6 coefficients.
2026-Feb-06 12:14:12.274878: WARNING: Not enough training points (10) given to build a model with 15 coefficients.
2026-Feb-06 12:14:12.275879: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.276877: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.278883: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.279883: WARNING: Not enough training points (10) given to build a model with 13 coefficients.
2026-Feb-06 12:14:12.281883: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.282884: WARNING: Not enough training points (10) given to build a model with 22 coefficients.
2026-Feb-06 12:14:12.283882: WARNING: Not enough training points (10) given to build a model with 13 coefficients.
2026-Feb-06 12:14:12.284882: WARNING: Not enough training points (10) given to build a model with 28 coefficients.
2026-Feb-06 12:14:12.285882: WARNING: Not enough training points (10) given to build a model with 8 coefficients.
2026-Feb-06 12:14:12.286882: WARNING: Not enough training points (10) given to build a model with 22 coefficients.
2026-Feb-06 12:14:12.287877: WARNING: Not enough training points (10) given to build a model with 6 coefficients.
2026-Feb-06 12:14:12.289883: WARNING: Not enough training points (10) given to build a model with 28 coefficients.
2026-Feb-06 12:14:12.290883: WARNING: Not enough training points (10) given to build a model with 8 coefficients.
2026-Feb-06 12:14:12.291883: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.293883: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.294883: WARNING: Not enough training points (10) given to build a model with 6 coefficients.
2026-Feb-06 12:14:12.295884: WARNING: Not enough training points (10) given to build a model with 13 coefficients.
2026-Feb-06 12:14:12.297882: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.298882: WARNING: Not enough training points (10) given to build a model with 22 coefficients.
2026-Feb-06 12:14:12.299883: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.300883: WARNING: Not enough training points (10) given to build a model with 28 coefficients.
2026-Feb-06 12:14:12.301883: WARNING: Not enough training points (10) given to build a model with 13 coefficients.
2026-Feb-06 12:14:12.302877: WARNING: Not enough training points (10) given to build a model with 22 coefficients.
2026-Feb-06 12:14:12.303883: WARNING: Not enough training points (10) given to build a model with 28 coefficients.
2026-Feb-06 12:14:12.304878: WARNING: Not enough training points (10) given to build a model with 28 coefficients.
2026-Feb-06 12:14:12.305885: WARNING: Not enough training points (10) given to build a model with 28 coefficients.
2026-Feb-06 12:14:12.306878: WARNING: Not enough training points (10) given to build a model with 6 coefficients.
2026-Feb-06 12:14:12.307876: WARNING: Not enough training points (10) given to build a model with 9 coefficients.
2026-Feb-06 12:14:12.308877: WARNING: Not enough training points (10) given to build a model with 6 coefficients.
2026-Feb-06 12:14:12.309883: WARNING: Not enough training points (10) given to build a model with 11 coefficients.
2026-Feb-06 12:14:12.310883: WARNING: Not enough training points (10) given to build a model with 11 coefficients.
2026-Feb-06 12:14:12.311884: WARNING: Not enough training points (10) given to build a model with 15 coefficients.
2026-Feb-06 12:14:12.312883: WARNING: Not enough training points (10) given to build a model with 15 coefficients.
2026-Feb-06 12:14:12.313883: WARNING: Not enough training points (10) given to build a model with 16 coefficients.
2026-Feb-06 12:14:12.314883: WARNING: Not enough training points (10) given to build a model with 9 coefficients.
2026-Feb-06 12:14:12.316883: WARNING: Not enough training points (10) given to build a model with 21 coefficients.
2026-Feb-06 12:14:12.318879: WARNING: Not enough training points (10) given to build a model with 11 coefficients.
2026-Feb-06 12:14:12.319891: WARNING: Not enough training points (10) given to build a model with 21 coefficients.
2026-Feb-06 12:14:12.320884: WARNING: Not enough training points (10) given to build a model with 15 coefficients.
2026-Feb-06 12:14:12.321883: WARNING: Not enough training points (10) given to build a model with 6 coefficients.
2026-Feb-06 12:14:12.322883: WARNING: Not enough training points (10) given to build a model with 15 coefficients.
2026-Feb-06 12:14:12.324883: WARNING: Not enough training points (10) given to build a model with 6 coefficients.
2026-Feb-06 12:14:12.325883: WARNING: Not enough training points (10) given to build a model with 11 coefficients.
2026-Feb-06 12:14:12.326884: WARNING: Not enough training points (10) given to build a model with 16 coefficients.
2026-Feb-06 12:14:12.327883: WARNING: Not enough training points (10) given to build a model with 21 coefficients.
2026-Feb-06 12:14:12.328883: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.329877: WARNING: Not enough training points (10) given to build a model with 21 coefficients.
2026-Feb-06 12:14:12.330882: WARNING: Not enough training points (10) given to build a model with 7 coefficients.
2026-Feb-06 12:14:12.331877: WARNING: Not enough training points (10) given to build a model with 9 coefficients.
2026-Feb-06 12:14:12.333885: WARNING: Not enough training points (10) given to build a model with 10 coefficients.
2026-Feb-06 12:14:12.334878: WARNING: Not enough training points (10) given to build a model with 11 coefficients.
2026-Feb-06 12:14:12.335877: WARNING: Not enough training points (10) given to build a model with 10 coefficients.
2026-Feb-06 12:14:12.336883: WARNING: Not enough training points (10) given to build a model with 15 coefficients.
2026-Feb-06 12:14:12.338883: INFO: Results.Radiance.Area.RMS_contrast.value Linear Regression of order 1 (no mixed terms)                1               2                 0.000         0.000
2026-Feb-06 12:14:12.339881: WARNING: Not enough training points (10) given to build a model with 15 coefficients.
2026-Feb-06 12:14:12.340881: INFO: Results.Radiance.Area.RMS_contrast.value Linear Regression of order 1 (with mixed terms)              1               2                 0.000         0.000
2026-Feb-06 12:14:12.341879: WARNING: Not enough training points (10) given to build a model with 6 coefficients.
2026-Feb-06 12:14:12.343892: INFO: Results.Radiance.Area.RMS_contrast.value Linear Regression of order 2 (no mixed terms)                1               3                 0.382         0.069
2026-Feb-06 12:14:12.344893: WARNING: Not enough training points (10) given to build a model with 6 coefficients.
2026-Feb-06 12:14:12.346887: INFO: Results.Radiance.Area.Average.value Linear Regression of order 1 (no mixed terms)                1               2                 0.282         0.000
2026-Feb-06 12:14:12.349886: INFO: Results.Radiance.Area.Average.value Linear Regression of order 1 (no mixed terms, BoxCox)        2               3                 0.566         0.200
2026-Feb-06 12:14:12.350885: WARNING: Not enough training points (10) given to build a model with 2 inputs.
2026-Feb-06 12:14:12.352892: INFO: Results.Radiance.Area.Average.value Linear Regression of order 2 (no mixed terms)                2               4                 0.417         0.000
2026-Feb-06 12:14:12.353887: WARNING: Not enough training points (10) given to build a model with 2 inputs.
2026-Feb-06 12:14:12.354894: WARNING: Not enough training points (10) given to build a model with 3 inputs.
2026-Feb-06 12:14:12.355884: WARNING: Not enough training points (10) given to build a model with 2 inputs.
2026-Feb-06 12:14:12.355884: WARNING: Not enough training points (10) given to build a model with 3 inputs.
2026-Feb-06 12:14:12.357394: WARNING: Not enough training points (10) given to build a model with 4 inputs.
2026-Feb-06 12:14:12.358408: WARNING: Not enough training points (10) given to build a model with 2 inputs.
2026-Feb-06 12:14:12.359408: WARNING: Not enough training points (10) given to build a model with 4 inputs.
2026-Feb-06 12:14:12.360408: WARNING: Not enough training points (10) given to build a model with 4 inputs.
2026-Feb-06 12:14:12.361408: WARNING: Not enough training points (10) given to build a model with 4 inputs.
2026-Feb-06 12:14:12.362408: WARNING: Not enough training points (10) given to build a model with 4 inputs.
2026-Feb-06 12:14:12.363408: WARNING: Not enough training points (10) given to build a model with 4 inputs.
2026-Feb-06 12:14:12.364408: WARNING: Not enough training points (10) given to build a model with 5 inputs.
2026-Feb-06 12:14:12.366409: WARNING: Not enough training points (10) given to build a model with 5 inputs.
2026-Feb-06 12:14:12.367409: WARNING: Not enough training points (10) given to build a model with 5 inputs.
2026-Feb-06 12:14:12.369408: WARNING: Not enough training points (10) given to build a model with 6 inputs.
2026-Feb-06 12:14:12.370402: WARNING: Not enough training points (10) given to build a model with 6 inputs.
2026-Feb-06 12:14:12.372402: WARNING: Not enough training points (10) given to build a model with 5 inputs.
2026-Feb-06 12:14:12.374409: INFO: Results.Radiance.Area.RMS_contrast.value Moving Least Squares of order 1 (exponential weight)         1               2                 0.397         0.215
2026-Feb-06 12:14:12.375408: WARNING: Not enough training points (10) given to build a model with 6 inputs.
2026-Feb-06 12:14:12.376409: INFO: Results.Radiance.Area.RMS_contrast.value Moving Least Squares of order 2 (exponential weight)         1               3                 0.385         0.042
2026-Feb-06 12:14:12.377402: WARNING: Not enough training points (10) given to build a model with 6 inputs.
2026-Feb-06 12:14:12.378402: INFO: Results.Radiance.Area.Average.value Moving Least Squares of order 1 (exponential weight)         1               2                 0.456         0.440
2026-Feb-06 12:14:12.380402: INFO: Results.Radiance.Area.Average.value Moving Least Squares of order 2 (exponential weight)         1               3                 0.471         0.000
2026-Feb-06 12:14:12.384401: WARNING: Not enough training points (10) given to build a model with 2 inputs.
2026-Feb-06 12:14:12.385402: WARNING: Not enough training points (10) given to build a model with 2 inputs.
2026-Feb-06 12:14:12.386412: WARNING: Not enough training points (10) given to build a model with 4 inputs.
2026-Feb-06 12:14:12.387420: WARNING: Not enough training points (10) given to build a model with 3 inputs.
2026-Feb-06 12:14:12.389424: WARNING: Not enough training points (10) given to build a model with 4 inputs.
2026-Feb-06 12:14:12.390427: WARNING: Not enough training points (10) given to build a model with 5 inputs.
2026-Feb-06 12:14:12.391427: WARNING: Not enough training points (10) given to build a model with 5 inputs.
2026-Feb-06 12:14:12.392425: WARNING: Not enough training points (10) given to build a model with 4 inputs.
2026-Feb-06 12:14:12.392425: WARNING: Not enough training points (10) given to build a model with 6 inputs.
2026-Feb-06 12:14:12.393425: WARNING: Not enough training points (10) given to build a model with 6 inputs.
2026-Feb-06 12:14:12.394426: INFO: Results.Radiance.Area.Average.value Kriging (isotropic kernel)                                   1               1                 1.000         0.197
2026-Feb-06 12:14:12.395426: INFO: Results.Radiance.Area.RMS_contrast.value Kriging (isotropic kernel)                                   1               1                 0.746         0.000
2026-Feb-06 12:14:12.396426: INFO: Finished metamodel evaluation for response Results.Radiance.Area.Average.value - Collecting results
2026-Feb-06 12:14:12.397427: INFO: Finished metamodel evaluation for response Results.Radiance.Area.RMS_contrast.value - Collecting results
2026-Feb-06 12:14:12.398426: INFO:  Active response subspace 111111
2026-Feb-06 12:14:12.399426: INFO:  
2026-Feb-06 12:14:12.400425: INFO:  ***** Iteration 1: MOP results *****
2026-Feb-06 12:14:12.400425: INFO:    Results.Radiance.Area.RMS_contrast.value   Moving Least Squares of order 1 (exponential weight)   CoD adjusted 0.396833 CoP 0.215222 sampleCoP (Min value) 0
2026-Feb-06 12:14:12.401426: INFO:    Results.Radiance.Area.Average.value        Moving Least Squares of order 1 (exponential weight)   CoD adjusted 0.455719 CoP 0.439687 sampleCoP (Min value) 0
