Wszystkie pola: genetic algorithms - Katalog OPAC zbiorów

Skocz do pozycji: 1.

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

Skocz do pozycji: 2.

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

Skocz do pozycji: 3.

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

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