A minimal greedy regional zoom method outperforms Pareto and global Bayesian optimization in budget-constrained SBSE, winning or tying in 84-89% of cases at equal budget and even at one-fifth budget, because optimal solutions cluster in a compact decision-space island.
An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach.IEEE TSE, 18(4):577–601
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Zoom, Don't Wander: Why Regional Search Outperforms Pareto Reasoning and Global Optimization in Budget-Constrained SBSE
A minimal greedy regional zoom method outperforms Pareto and global Bayesian optimization in budget-constrained SBSE, winning or tying in 84-89% of cases at equal budget and even at one-fifth budget, because optimal solutions cluster in a compact decision-space island.