Autor: García, J. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Numerical Analysis and Simulations of Quasistatic Frictionless Contact Problems
Autorzy:: Fernandez Garcia, J. R.
Han, W.
Shillor, M.
Sofonea, M.
Powiązania:: https://bibliotekanauki.pl/articles/908327.pdf
Data publikacji:: 2001
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: analiza numeryczna
quasistatyka
metoda elementów skończonych
quasistatic contact
Signorini condition
normal compliance
viscoplasticity
variational inequalitie
error estimate
finite element method (FEM)
numerical approximation
Opis:: A summary of recent results concerning the modelling as well as the variational and numerical analysis of frictionless contact problems for viscoplastic materials are presented. The contact is modelled with the Signorini or normal compliance conditions. Error estimates for the fully discrete numerical scheme are described, and numerical simulations based on these schemes are reported.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2001, 11, 1; 205-222
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: A genetic algorithm for the maximum 2-packing set problem
Autorzy:: Trejo-Sánchez, Joel Antonio
Fajardo-Delgado, Daniel
Gutierrez-Garcia, J. Octavio
Powiązania:: https://bibliotekanauki.pl/articles/330154.pdf
Data publikacji:: 2020
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: maximum 2-packing set
genetic algorithms
graph algorithms
algorytm genetyczny
algorytm grafowy
Opis:: Given an undirected connected graph G = (V, E), a subset of vertices S is a maximum 2-packing set if the number of edges in the shortest path between any pair of vertices in S is at least 3 and S has the maximum cardinality. In this paper, we present a genetic algorithm for the maximum 2-packing set problem on arbitrary graphs, which is an NP-hard problem. To the best of our knowledge, this work is a pioneering effort to tackle this problem for arbitrary graphs. For comparison, we extended and outperformed a well-known genetic algorithm originally designed for the maximum independent set problem. We also compared our genetic algorithm with a polynomial-time one for the maximum 2-packing set problem on cactus graphs. Empirical results show that our genetic algorithm is capable of finding 2-packing sets with a cardinality relatively close (or equal) to that of the maximum 2-packing sets. Moreover, the cardinality of the 2-packing sets found by our genetic algorithm increases linearly with the number of vertices and with a larger population and a larger number of generations. Furthermore, we provide a theoretical proof demonstrating that our genetic algorithm increases the fitness for each candidate solution when certain conditions are met.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2020, 30, 1; 173-184
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: BIBO stabilisation of continuous-time Takagi–Sugeno systems under persistent perturbations and input saturation
Autorzy:: Salcedo, J. V.
Martínez, M.
García-Nieto, S.
Hilario, A.
Powiązania:: https://bibliotekanauki.pl/articles/330698.pdf
Data publikacji:: 2018
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: linear matrix inequalities
fuzzy system
nonlinear system
input saturation
disturbance
liniowe nierówności macierzowe
układ rozmyty
układ liniowy
nasycenie wejściowe
Opis:: This paper presents a novel approach to the design of fuzzy state feedback controllers for continuous-time non-linear systems with input saturation under persistent perturbations. It is assumed that all the states of the Takagi–Sugeno (TS) fuzzy model representing a non-linear system are measurable. Such controllers achieve bounded input bounded output (BIBO) stabilisation in closed loop based on the computation of inescapable ellipsoids. These ellipsoids are computed with linear matrix inequalities (LMIs) that guarantee stabilisation with input saturation and persistent perturbations. In particular, two kinds of inescapable ellipsoids are computed when solving a multiobjective optimization problem: the maximum volume inescapable ellipsoids contained inside the validity domain of the TS fuzzy model and the smallest inescapable ellipsoids which guarantee a minimum ^*-norm (upper bound of the 1-norm) of the perturbed system. For every initial point contained in the maximum volume ellipsoid, the closed loop will enter the minimum ^*-norm ellipsoid after a finite time, and it will remain inside afterwards. Consequently, the designed controllers have a large domain of validity and ensure a small value for the 1-norm of closed loop.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2018, 28, 3; 457-472
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets
Autorzy:: Colomo-Palacios, R.
González-Carrasco, I.
López-Cuadrado, J. L.
García-Crespo, Á.
Powiązania:: https://bibliotekanauki.pl/articles/331282.pdf
Data publikacji:: 2012
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: zbiór rozmyty
zbiór przybliżony
Scrum
pakiet roboczy
system polecenia
fuzzy set
rough set
work package
recommender system
Opis:: Agile development is a crucial issue within software engineering because one of the goals of any project leader is to increase the speed and flexibility in the development of new commercial products. In this sense, project managers must find the best resource configuration for each of the work packages necessary for the management of software development processes in order to keep the team motivated and committed to the project and to improve productivity and quality. This paper presents ReSySTER, a hybrid recommender system based on fuzzy logic, rough set theory and semantic technologies, aimed at helping project leaders to manage software development projects. The proposed system provides a powerful tool for project managers supporting the development process in Scrum environments and helping to form the most suitable team for different work packages. The system has been evaluated in a real scenario of development with the Scrum framework obtaining promising results.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2012, 22, 4; 801-816
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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