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Паралельний генетичний алгоритм з нечітким оператором міграції
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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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