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Autor:
Alicia Hofler, Balša Terzić, Matthew Kramer, Anton Zvezdin, Vasiliy Morozov, Yves Roblin, Fanglei Lin, Colin Jarvis
Publikováno v:
Physical Review Special Topics. Accelerators and Beams, Vol 16, Iss 1, p 010101 (2013)
The genetic algorithm (GA) is a powerful technique that implements the principles nature uses in biological evolution to optimize a multidimensional nonlinear problem. The GA works especially well for problems with a large number of local extrema, wh
Externí odkaz:
https://doaj.org/article/10170f87cef34534b7d297cbc5175b9d