Open AccessNemlineáris, dinamikus rendszerek hatékony optimalizálásának egy lehetősége
Author(s) -
Szilveszter Pletl
Publication year - 2010
Publication title -
jelenkori társadalmi és gazdasági folyamatok
Language(s) - English
Resource type - Journals
eISSN - 2676-9867
pISSN - 1788-7593
DOI - 10.14232/jtgf.2010.1-2.265-272
Subject(s) - sort , genetic algorithm , grid , function (biology) , computer science , work (physics) , process (computing) , mathematical optimization , algorithm , mathematics , physics , biology , evolutionary biology , geometry , information retrieval , operating system , thermodynamics
Evolution as a process has remarkable problem-solving abilities. Today the available technical items enable the successful use of genetic algorithms as a sort of model of evolu-tion is various fields of science. The procedure presented in this work combines the advan-tages of well-known soft techniques. Let it be assumed that the criterion function to be minimized has a global minimum. Let [!Beilleszthetetlen képlet, nézze meg a tanulmány szövegében!] be a criterion function. The aim is to determine the [!Beilleszthetetlen képlet, nézze meg a tanulmány szövegében!] global minimum. The use of the genetic algorithm in the stochastic-based search will most likely result in finding this minimum. In the further part of this work 9 will dente the free parameters of the system. The algorithms presented in this paper can be made parallel to a great extent and thus can be largely im-plemented in grid systems