Iterative surrogate-assisted multi-objective optimization with NSGA-II and neural network surrogates is tested on a 24-parameter car suspension design problem, reporting faster Pareto front approximation.
A fast and elitist multiobjective genetic algorithm: NSGA-II,
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Surrogate-assisted multi-objective design of complex multibody systems
Iterative surrogate-assisted multi-objective optimization with NSGA-II and neural network surrogates is tested on a 24-parameter car suspension design problem, reporting faster Pareto front approximation.