XGBoost outperforms DNN, AdaBoost, and ElasticNet on PMEDM datasets with powder and vibration features; MOEAs including NSGA-II optimize the resulting Pareto frontier.
This suggests that UNSGA -III may offer comparable performance to these algorithms in terms of exploring and optimizing the Pareto front
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Multi-objective Evolutionary Algorithms (MOEAs) in PMEDM -- A Comparative Study in Pareto Frontier
XGBoost outperforms DNN, AdaBoost, and ElasticNet on PMEDM datasets with powder and vibration features; MOEAs including NSGA-II optimize the resulting Pareto frontier.