55 citations
- Universidade de São PauloBR48 papers
- AGH University of KrakowPL5 papers
- Wrocław University of Science and TechnologyPL5 papers
- Centro Universitário Barão de MauáBR4 papers
- Universidad de MálagaES4 papers
- Universidade Federal de São CarlosBR4 papers
- New Jersey Institute of TechnologyUS3 papers
- Rutgers, The State University of New JerseyUS3 papers
- Universidade Estadual de Campinas (UNICAMP)BR3 papers
- Universidade Estadual Paulista (Unesp)BR3 papers
- Universidade Federal do ABCBR3 papers
- Universidade Federal do Rio Grande do SulBR3 papers
51 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…
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…
Descriptor: Parasitoid Wasps and Associated Hymenoptera Dataset (DAPWH)
Joao Manoel Herrera Pinheiro, Gabriela Do Nascimento Herrera, Luciana Bueno Dos Reis Fernandes +7
Accurate taxonomic identification is the cornerstone of biodiversity monitoring and agricultural management, particularly for the hyper-diverse superfamily Ichneumonoidea. Comprisi…
Nonparametric estimation of the jump rate in mean field interacting systems of neurons
Aline Duarte, Kadmo Laxa, Eva Löcherbach +1
We consider finite systems of interacting neurons described by non-linear Hawkes processes in a mean field frame. Neurons are described by their membrane potential. They spike…
On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence
M. W. Przewozniczek, F. Chicano, R. Tinós +3
Gray-box optimization employs Walsh decomposition to obtain non-linear variable dependencies and utilize them to propose masks of variables that have a joint non-linear influence o…
Moving between high-quality optima using multi-satisfiability characteristics in hard-to-solve Max3Sat instances
J. Piatek, M. W. Przewozniczek, F. Chicano +1
Gray-box optimization proposes effective and efficient optimizers of general use. To this end, it leverages information about variable dependencies and the subfunction-based proble…