1#@ s*: DakotaConfig=HAVE_ACRO 2environment, 3 method_pointer = 'SBGO' 4 5################################# 6# begin SBGO specification # 7################################# 8method, 9 id_method = 'SBGO' 10 model_pointer = 'SBGO_M' 11 surrogate_based_global 12# approx_method_name = 'coliny_ea' 13 approx_method_pointer = 'EA_MINLP' 14 max_iterations = 25 15 output quiet 16 17model, 18 id_model = 'SBGO_M' 19 variables_pointer = 'SBGO_V' 20 responses_pointer = 'SBGO_R' 21 surrogate global 22 dace_method_pointer = 'SAMPLING' 23 gaussian_process surfpack 24# correction additive zeroth_order 25 minimum_points 26 27variables, 28 id_variables = 'SBGO_V' 29 continuous_design = 3 30# initial_point = 500 2000 5 31 lower_bounds = 400 1750 4 32 upper_bounds = 600 2250 6 33 descriptors = 'P_mean' 'M_mean' 'Y_mean' 34 discrete_design_set 35 integer = 1 36# initial_point = 1 37 set_values = 1 2 3 4 38 descriptors = 'ddsi_ModelForm' 39 40responses, 41 id_responses = 'SBGO_R' 42 objective_functions = 1 43# response_descriptors = 'mean_limit' 44 response_descriptors = 'beta_cdf_limit' 45 no_gradients 46 no_hessians 47 48################################ 49# begin EA_MINLP specification # 50################################ 51method, 52 id_method = 'EA_MINLP' 53 coliny_ea 54 population_size = 100 55 max_iterations = 50 max_function_evaluations = 5000 56 seed = 1237 57 58############################ 59# begin DACE specification # 60############################ 61method, 62 id_method = 'SAMPLING' 63 model_pointer = 'NESTED_UQ' 64 sampling 65 samples = 10 seed = 12347 66 sample_type lhs 67 68model, 69 id_model = 'NESTED_UQ' 70 nested 71 variables_pointer = 'SBGO_V' 72 sub_method_pointer = 'ALEATORY' 73 responses_pointer = 'SBGO_R' 74 primary_variable_mapping = 'P' 'M' 'Y' 'ModelForm' 75 secondary_variable_mapping = 'mean' 'mean' 'mean' '' 76 primary_response_mapping = 0. 0. -1. 77# primary_response_mapping = 1. 0. 0. 78 79################################ 80# begin ALEATORY specification # 81################################ 82method, 83 id_method = 'ALEATORY' 84 model_pointer = 'ALEAT_M' 85 polynomial_chaos askey 86 sparse_grid_level = 2 87 response_levels = 0.0 88 compute reliabilities 89 cumulative distribution 90 output silent 91 92model, 93 id_model = 'ALEAT_M' 94 single 95 variables_pointer = 'ALEAT_V' 96 interface_pointer = 'ALEAT_I' 97 responses_pointer = 'ALEAT_R' 98 99variables, 100 id_variables = 'ALEAT_V' 101 normal_uncertain = 2 102 means = 500.0 2000.0 103 std_deviations = 100.0 400.0 104 descriptors = 'P' 'M' 105 lognormal_uncertain = 1 106 means = 5.0 107 std_deviations = 0.5 108 descriptors = 'Y' 109 uniform_uncertain = 2 110 lower_bounds 5. 15. 111 upper_bounds 15. 25. 112 descriptors 'b' 'h' 113 uncertain_correlation_matrix = 1 0.5 0 0 0 114 0.5 1 0 0 0 115 0 0 1 0 0 116 0 0 0 1 0 117 0 0 0 0 1 118 discrete_state_set 119 integer = 1 120 set_values = 1 2 3 4 121 descriptors = 'ModelForm' 122 123interface, 124 id_interface = 'ALEAT_I' 125 direct 126 analysis_driver = 'mf_short_column' 127# deactivate evaluation_cache restart_file 128 129responses, 130 id_responses = 'ALEAT_R' 131 response_descriptors = 'limit_state' 132 response_functions = 1 133 no_gradients 134 no_hessians 135 136