EPOS constructs an ensemble of Pareto-optimal RBFN surrogates via NSGA-II trading accuracy against complexity, and uses LCB with ensemble disagreement to outperform state-of-the-art SAEAs on 1000-FE budgets.
Multi- layer perceptron grouping and sparse Gaussian process-based surrogate- assisted evolutionary algorithm for expensive multiobjective optimiza- tion,
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An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models
EPOS constructs an ensemble of Pareto-optimal RBFN surrogates via NSGA-II trading accuracy against complexity, and uses LCB with ensemble disagreement to outperform state-of-the-art SAEAs on 1000-FE budgets.