Multi-objective optimization from PBD-CCD experiments adopting quadratic model and GA-optimized ANN, pareto optimality
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The Plackett-Burman screening design was followed by CCD experiments on two responses. The CCD data were further used to generate quadratic models and ANN modeling. ANN model architecture was optimized using GA. Both the model variants were used to identify optimized process responses (maximum/minimum). Subsequently, MOO strategy was adopted. Additionally, pareto optimal solutions were offered using GA-multiobjective function
提供机构：
National Institute of Technology Rourkela Department of Biotechnology and Medical Engineering
