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Gauri Vaidya, Meghana Kshirsagar and Conor Ryan
Neural networks have revolutionised the way we approach problem solving across multiple domains; however, their effective design and efficient use of computational resources is still a challenging task. One of the most important factors influencing this ...
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Pavel Sorokovikov and Alexander Gornov
The article offers a possible treatment for the numerical research of tasks which require searching for an absolute optimum. This approach is established by employing both globalized nature-inspired methods as well as local descent methods for exploratio...
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Panagiotis Oikonomou and Stylianos Pappas
In this paper a microscopic, non-discrete, mathematical model based on stigmergy for predicting the nodal aggregation dynamics of decentralized, autonomous robotic swarms is proposed. The model departs from conventional applications of stigmergy in bioin...
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A. Gargantilla Becerra and R. Lahoz-Beltra
One of the most delicate stages of an evolutionary algorithm is the evaluation of the goodness of the solutions by some procedure providing a fitness value. However, although there are general rules, it is not always easy to find an appropriate evaluatio...
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Carlos Yasojima, João Protázio, Bianchi Meiguins, Nelson Neto and Jefferson Morais
Kriging is a geostatistical interpolation technique that performs the prediction of observations in unknown locations through previously collected data. The modelling of the variogram is an essential step of the kriging process because it drives the accu...
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V.V. Nechaev,D.V. Minyaylo
Pág. 94 - 100
The article presents the issues of controlling complex multicomponent dynamic systems on the example of groups of unmanned aerial vehicles (UAVs). Currently, all the important functions are obtained by the UAV control groups, so that the functionality of...
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