Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "genetic algorithms" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-6 z 6
    Tytuł:
    Adaptive approaches to parameter control in genetic algorithms and genetic programming
    Autorzy:
    Spalek, J.
    Gregor, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/117900.pdf
    Data publikacji:
    2011
    Wydawca:
    Polskie Towarzystwo Promocji Wiedzy
    Tematy:
    adaptive approach
    genetic algorithms
    genetic programming
    Opis:
    The paper concerns the application of Genetic Algorithms and Genetic Programming to complex tasks such as automated design of control systems, where the space of solutions is non-trivial and may contain discontinuities. Several adaptive mechanisms for control of the search algorithm's parameters are proposed, investigated and compared to each other. It is shown that the proposed mechanisms are useful in preventing the search from getting trapped in local extremes of the fitness landscape.
    Źródło:
    Applied Computer Science; 2011, 7, 1; 38-56
    1895-3735
    Pojawia się w:
    Applied Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Adaptive switching of mutation rate for genetic algorithms and genetic programming
    Autorzy:
    Spalek, J.
    Gregor, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/118223.pdf
    Data publikacji:
    2011
    Wydawca:
    Polskie Towarzystwo Promocji Wiedzy
    Tematy:
    genetic algorithms
    genetic programming
    adaptive mechanism
    Opis:
    The paper concerns the application of Genetic Algorithms and Genetic Programming to complex tasks such as automated design of control systems, where the space of solutions is non-trivial and may contain discontinuities. An adaptive value-switching mechanism for mutation rate control is proposed. It is shown that the proposed mechanism is useful in preventing the search from getting trapped in local extremes of the fitness landscape.
    Źródło:
    Applied Computer Science; 2011, 7, 1; 30-37
    1895-3735
    Pojawia się w:
    Applied Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of genetic algorithms to the traveling salesman problem
    Autorzy:
    Sikora, Tomasz
    Gryglewicz-Kacerka, Wanda
    Powiązania:
    https://bibliotekanauki.pl/articles/30148246.pdf
    Data publikacji:
    2023
    Wydawca:
    Polskie Towarzystwo Promocji Wiedzy
    Tematy:
    evolutionary algorithms
    genetic algorithms
    traveling salesman problem
    TSP
    Opis:
    The purpose of this paper was to investigate in practice the possibility of using evolutionary algorithms to solve the traveling salesman problem on a real example. The goal was achieved by developing an original implementation of the evolutionary algorithm in Python, and by preparing an example of the traveling salesman problem in the form of a directed graph representing Polish voivodship cities. As part of the work an application in Python was written. It provides a user interface which allows to set selected parameters of the evolutionary algorithm and solve the prepared problem. The results are presented in both text and graphical form. The correctness of the evolutionary algorithm's operation and the implementation was confirmed by performed tests. A large number of tested solutions (2500) and the analysis of the obtained results allowed for a conclusion that an optimal (relatively suboptimal) solution was found.
    Źródło:
    Applied Computer Science; 2023, 19, 2; 55-62
    1895-3735
    2353-6977
    Pojawia się w:
    Applied Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Artificial intelligence toolsin simulation and optimization of production systems
    Autorzy:
    Škorík, P.
    Gregor, M.
    Štefanik, A
    Powiązania:
    https://bibliotekanauki.pl/articles/118145.pdf
    Data publikacji:
    2009
    Wydawca:
    Polskie Towarzystwo Promocji Wiedzy
    Tematy:
    simulation of production systems
    optimalization
    genetic algorithms
    Opis:
    This article deals with solution developed as a cooperation of Industrial engineering department, University of Žilina and Central European Institute of Technology (CEIT SK). Proposed solution involves simulation with support of virtual reality for searching of engineer-accepted manufacturing system state (so called "optimal"). Article includes basic information about evolution methods and genetic algorithms. Authors own algorithm, which is based on use of genetic algorithm, is used for optimization. Outcomes compares the speed of convergence of chosen Witness optimization algorithms and authors-developed algorithm. Comparison is presented on project from industrial praxis.
    Źródło:
    Applied Computer Science; 2009, 5, 2; 42-57
    1895-3735
    Pojawia się w:
    Applied Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Utilisation of Evolution Algorithm in Production Layout Design
    Autorzy:
    Krajčovič, M.
    Grznár, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/117697.pdf
    Data publikacji:
    2017
    Wydawca:
    Polskie Towarzystwo Promocji Wiedzy
    Tematy:
    production layout
    material flow optimisation
    heuristics
    genetic algorithms
    Opis:
    The need for flexibility of layout planning puts higher requirements for uti-lisation of layout and location problem solving methods. Classical methods, like linear programming, dynamic programming or conventional heuristics are being replaced by advanced evolutionary algorithms, which give better solutions to large-scale problems. One of these methods are also genetic algorithms. This article describes the genetic algorithm utilisation in the production layout planningunder the terms of the digital factory concept.
    Źródło:
    Applied Computer Science; 2017, 13, 3; 5-18
    1895-3735
    Pojawia się w:
    Applied Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of Real-time fan scheduling in exploration-exploitation to optimize minimum function objectives
    Autorzy:
    Larios-Gómez, Mariano
    Quintero-Flores, Perfecto M.
    Anzures-García, Mario
    Camacho-Hernandez, Miguel
    Powiązania:
    https://bibliotekanauki.pl/articles/30148244.pdf
    Data publikacji:
    2023
    Wydawca:
    Polskie Towarzystwo Promocji Wiedzy
    Tematy:
    real-time task scheduling
    genetic algorithms
    concurrent computing
    Opis:
    This paper presents the application of a task scheduling algorithm called Fan based on artificial intelligence technique such as genetic algorithms for the problem of finding minima in objective functions, where equations are predefined to measure the return on investment. This work combines the methodologies of population exploration and exploitation. Results with good aptitudes are obtained until a better learning based on non-termination conditions is found, until the individual provides a better predisposi¬tion, adhering to the established constraints, exhausting all possible options and satisfying the stopping condition. A real-time task planning algorithm was applied based on consensus techniques. A software tool was developed, and the scheduler called FAN was adapted that contemplates the execution of periodic, aperiodic, and sporadic tasks focused on controlled environments, considering that strict time restrictions are met. In the first phase of the work, it is shown how convergence precipitates to an evolution. This is done in a few iterations. In the second stage, exploitation was improved, giving the algorithm a better performance in convergence and feasibility. As a result, a population was used and iterations were applied with a fan algorithm and better predisposition was obtained, which occurs in asynchronous processes while scheduling in real time.
    Źródło:
    Applied Computer Science; 2023, 19, 2; 43-54
    1895-3735
    2353-6977
    Pojawia się w:
    Applied Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies