1 citations · 1 across the 4 of their papers we have counts for
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cs.NE2026★ 1 cited
Pareto-Optimal Anytime Algorithms via Bayesian Racing
Jonathan Wurth, Helena Stegherr, Neele Kemper +2
Selecting an optimization algorithm requires comparing candidates across problem instances, but the computational budget for deployment is often unknown at benchmarking time. Curre…
cs.NE2024
Analysing the Influence of Reorder Strategies for Cartesian Genetic Programming
Henning Cui, Andreas Margraf, Jörg Hähner
Cartesian Genetic Programming (CGP) suffers from a specific limitation: Positional bias, a phenomenon in which mostly genes at the start of the genome contribute to a program outpu…