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• W1584296156 abstract "The scheduling problem in a multilayer multiprocessor environment finds its relevance in many industrial and computing applications. In this paper, we present a genetic algorithm for the solution. We describe the implementation details and introduce a new crossover operator. Extensive computational experiments demonstrated that genetic algorithm performs well." @default.
• W1584296156 created "2016-06-24" @default.
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• W1584296156 date "2004-01-01" @default.
• W1584296156 modified "2023-10-14" @default.
• W1584296156 title "A genetic algorithm for multilayer multiprocessor task scheduling" @default.
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• W1584296156 doi "https://doi.org/10.1109/tencon.2004.1414558" @default.
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