3 papers
stat.ML2026
Obtaining Partition Crossover masks using Statistical Linkage Learning for solving noised optimization problems with hidden variable dependency structure
M. W. Przewozniczek, B. Frej, M. M. Komarnicki +2
In optimization problems, some variable subsets may have a joint non-linear or non-monotonical influence on the function value. Therefore, knowledge of variable dependencies may be…
cs.AI2026
Limited Perfect Monotonical Surrogates constructed using low-cost recursive linkage discovery with guaranteed output
M. W. Przewozniczek, F. Chicano, R. Tinós +1
Surrogates provide a cheap solution evaluation and offer significant leverage for optimizing computationally expensive problems. Usually, surrogates only approximate the original f…
cs.NE2024
The hop-like problem nature -- unveiling and modelling new features of real-world problems
Michal W. Przewozniczek, Bartosz Frej, Marcin M. Komarnicki
Benchmarks are essential tools for the optimizer's development. Using them, we can check for what kind of problems a given optimizer is effective or not. Since the objective of the…