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Home/Authors/John Alasdair Warwicker

John Alasdair Warwicker

1 indexed paper

Recent (6 mo)
1
With code
0
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Publications per year

1
26

Top categories

Neural Computing×1AI×1Algorithms×1Optimization and Control×1

Frequent co-authors

Benjamin Doerr1×
Pietro S. Oliveto1×

Research Timeline

2026
Selection Hyper-heuristics Can Automatically Adjust the Learning Period to Optimally Solve Pseudo-Boolean Problems

This paper introduces a method to automatically determine the optimal learning period ($ au$) for the Random Gradient hyper-heuristic, enabling it to optimally solve Pseudo-Boolean Problems without manual parameter tuning.

Highlighted terms show continued research focus across papers

Papers

cs.NEcs.AIcs.DSRecentMay 28, 2026

Selection Hyper-heuristics Can Automatically Adjust the Learning Period to Optimally Solve Pseudo-Boolean Problems

Benjamin Doerr, Pietro S. Oliveto, John Alasdair Warwicker

This paper introduces a method to automatically determine the optimal learning period ($ au$) for the Random Gradient hyper-heuristic, enabling it to optimally solve Pseudo-Boolean Problems without ma…

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