Parameter optimization, the objective function is optimal, but the constraints are not satisfied #189
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HuangJinlong25
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I am using Dakota for parameter optimization with four constraints and one objective function in the response. I'm employing the efficient_global algorithm for global optimization (input file attached). However, while the objective function is optimized, two of the constraints fail to meet the ≤0 condition. How should I configure Dakota to prioritize satisfying (mandatory) constraints before optimizing the objective function?
opt_ego_dat.txt
opt_ego_in.txt
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