Browsing by Subject "nature-inspired algorithms"
Now showing 1 - 4 of 4
- Results Per Page
- Sort Options
Item type:Thesis, Access status: Restricted , Algorytmy inspirowane naturą w zagadnieniu szeregowania zadań(Data obrony: 2018-11-15) Wojnarowski, Paweł
Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii BiomedycznejItem type:Article, Access status: Open Access , Assessment of nature-inspired algorithms for text feature selection(Wydawnictwa AGH, 2022) Çoban, ÖnderThis paper provides a comprehensive assessment of basic feature selection (FS) methods that have originated from nature-inspired (NI) meta-heuristics, two well-known filter-based FS methods are also included for comparison. The performances of the considered methods are compared on four balanced highdimensional and real-world text data sets regarding the accuracy, the number of selected features, and computation time. This study differs from existing studies in terms of the extent of experimental analyses that were performed under different circumstances where the classifier, feature model, and term-weighting scheme were different. The results of the extensive experiments indicated that basic NI algorithms produce slightly different results than filter-based methods for the text FS problem. However, filter-based methods often provide better results by using lower numbers of features and computation times.Item type:Article, Access status: Open Access , Energy redistribution in autonomous hybridization of agent-based computing(Wydawnictwa AGH, 2021) Godzik, MateuszEvolutionary multi-agent systems (EMAS) are very good at dealing with diffi cult, multi-dimensional problems. Research is currently underway to improve this algorithm, giving agents even more freedom not only to solve the problem, but also to make decisions about the behavior of the algorithm. One way is to hybridize this algorithm with other existing algorithms to create the Hybrid Evolutionary Multi Agent-System (HEMAS). Unfortunately, such connections generate problems in the form of unbalanced agent energy levels. One solution is to use an agent energy redistribution operator. The article presents three different proposals for such redistribution operators, compared them with each other and selected the best based on the results of numerous experiments.Item type:Thesis, Access status: Restricted , Porównanie wybranych algorytmów inspirowanych naturą w optymalizacji zagadnienia dyskretnego(Data obrony: 2019-01-21) Pieniążek, Piotr
Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii Biomedycznej