Artificial intelligence

Scientific journal

ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Паралельний генетичний алгоритм з нечітким оператором міграції

Knysh D.1, Kyreichik V.2
1 TI SFedU in Taganrog
2 TI SFedU in Taganrog

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UDC: 658.325
Publication Language: Russian
Stuc. intelekt. 2010; 15(3):73-80

Abstract: The computing engineering developing has assisted necessity of research applications of distributed computing methods for optimization tasks. The genetic algorithm is effective instruments for different optimization tasks solving. Thereupon methods of application distributed computing are required by genetic algorithms. The parallel computing in genetic algorithms based on migration operator by analogy with evolutionary process in nature. The mechanism of migration with fuzzy logic using is suggested. Test of migration operator has showed it effectiveness.

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