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- W2373709737 abstract "To integrate the massive idle resources to super-powerful environment by resources sharing and collaborative working on Internet,an injection mold design grid platform was constructed for the optimization design of injection mold.By using multi-population genetic strategy and information-entropy based searching technique of narrowing down space,a grid optimization algorithm was developed to optimize the gate location of injection mold on the platform.This algorithm could not only remain diversity of population but also accelerate convergence speed so as to reduce time for optimization design.Optimization results of example showed that the proposed grid algorithm was efficient and could meet optimization requirement of mold design grid.Grid accelerations for different numbers of computation nodes were compared,and development trend causes for them were also analyzed." @default.
- W2373709737 created "2016-06-24" @default.
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- W2373709737 date "2008-01-01" @default.
- W2373709737 modified "2023-09-26" @default.
- W2373709737 title "Evolution algorithm for grid computing and its application" @default.
- W2373709737 hasPublicationYear "2008" @default.
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