QUIVER adaptively balances cheap pairwise preference queries and costly indifference adjustments with objective evaluations to achieve lower utility regret than single-modality baselines on WFG benchmarks.
A surrogate-assisted reference vector guided evolutionary algorithm for computationally expensive many-objective optimization
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QUIVER: Cost-Aware Adaptive Preference Querying in Surrogate-Assisted Evolutionary Multi-Objective Optimization
QUIVER adaptively balances cheap pairwise preference queries and costly indifference adjustments with objective evaluations to achieve lower utility regret than single-modality baselines on WFG benchmarks.