Gated rollout-calibrated hyper-heuristic for JSSP achieves lowest mean RPD among learned selectors on synthetic instances while staying close to the best fixed rule.
Multi-objective parameter configuration of machine learn- ing algorithms using model-based optimization
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Low-Cost Labels, Reliable Choices: Rollout-Calibrated Hyper-Heuristics for Job Shop Scheduling
Gated rollout-calibrated hyper-heuristic for JSSP achieves lowest mean RPD among learned selectors on synthetic instances while staying close to the best fixed rule.