AINeutralarXiv – CS AI · 14h ago5/10
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Selection Hyper-heuristics Can Automatically Adjust the Learning Period to Optimally Solve Pseudo-Boolean Problems
Researchers demonstrate how selection hyper-heuristics can automatically adjust learning periods to optimize pseudo-Boolean problem solving, eliminating manual parameter tuning. The Random Gradient hyper-heuristic achieves optimal neighbourhood size selection in nearly all iterations while maintaining theoretically optimal performance on the LeadingOnes benchmark.