4 papers
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…
Expansiveness of vertical subgroups of the Heisenberg group
Michał Prusik
In the paper we study expansiveness along distinguished subsets in the case of a continuous action of the discrete Heisenberg group on a compact metric space . Trans…
Availability of Perfect Decomposition in Statistical Linkage Learning for Unitation-based Function Concatenations
Michal Prusik, Bartosz Frej, Michal W. Przewozniczek
Statistical Linkage Learning (SLL) is a part of many state-of-the-art optimizers. The purpose of SLL is to discover variable interdependencies. It has been shown that the effective…
Projectional entropy for actions of amenable groups
Michał Prusik
In the current paper we attempt to transfer the notion of the projectional entropy, originally defined for multidimensional subshifts, to the case of actions of amenable groups. Th…