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2013. - V. 27. - N 1(141). - P. 37-42

Sergey Pavlovich Dudarov, Denis Mikhailovich Gusev,

An investigation and setting of real-coded genetic algorithm using Schwefel test function

The series of calculation experiments aimed at seeking of real-coded genetic algorithm settings guaranteed its fastest convergence to optimal result of multi-dimensional task of optimization of Schwefel function is looked at the paper. An evaluation of algorithm settings is carried on by mean time of decision achievement and mean count of evolution process epochs. Recommendations on setting of algorithm are given and ways of further investigations are declared.

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Исследование и настройка генетического алгоритма вещественного кодирования с использованием тестовой функции Швефеля

References

  1. Dudarov S. P., Karibova Yu. A. Geneticheskiy algoritm s operatorom mnogohromosomnogo krossovera// Matematicheskie metody v tehnike i tehnologiyah _ MMTT-25: sb. trudov XXV Mezhdunar. nauch. konf., sekcii 1, 2. _ Volgograd: Volgogr. gos. tehn. un-t, 2012; Harkov: Nacion. tehn. un-t _HPI_, 2012. _ s. 132_134.
  2. Dudarov S. P. Matematicheskie osnovy geneticheskih algoritmov: ucheb. posobie. _ M.: RHTU im. D. I. Mendeleeva, 2012. _ 56 s.

Keywords

genetic operator   Real-coded genetic algorithm   Schwefel function   Генетический алгоритм вещественного кодирования   генетический оператор   функция Швефеля  


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