strategy,
single
#pareto_set
#graphics
#opt_method_pointer = "NLP"
#multi_objective_weight_sets =
#1. 0. 
#0. 1. 
#.5 .5 
tabular_graphics_data
method,
id_method = "NLP"
efficient_global
seed = 79877
variables,
continuous_design = 6
lower_bounds 0.11 0.11 0.6 1.0 0.1 0.001
upper_bounds 0.16 0.14 1.0 1.2 0.5 0.04
descriptors "x1" "x2" "x3" "x4" "x5" "x6"
interface,
	fork asynchronous evaluation_concurrency = 1
		analysis_drivers = 'abaqus python PyWrapperB.py --'
		parameters_file = 'Bparams.in'
	    results_file = 'Bresults.out'
	file_tag
	file_save
responses,
objective_functions = 1
no_gradients
no_hessians