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- W2175240924 abstract "This research tackles genetic algorithm techniques in scheduling independent tasks for multiprocessor by proposed heuristic genetic algorithm resulting from combining two classical list heuristics of scheduling independent tasks, in order to gaining an optimal scheduling with the least period of time (schedule length). The researcher proved is more efficient than using a separate algorithm of the two list scheduling algorithms." @default.
- W2175240924 created "2016-06-24" @default.
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- W2175240924 date "2010-06-02" @default.
- W2175240924 modified "2023-09-23" @default.
- W2175240924 title "A Heuristic Genetic Algorithm for Independent Task Scheduling" @default.
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