Multi-objective simulation optimization of the adhesive bonding process of materials
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This research applies Bayesian optimization with Gaussian Process Regression and Logistic Regression to identify optimal adhesive bonding process parameters efficiently. The approach reduces experimental effort while guiding designs toward Pareto-optimal solutions for lightweight automotive applications.