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- W2365391834 abstract "For multi-type and high-capacity of space data based on AOS(advanced orbiting system) virtual channel multiplexing technology,the constraints problem on AOS virtual channel scheduling are analyzed,and an AOS virtual channel scheduling model is established.Furthermore,an AOS virtual channel scheduling algorithm based on adaptive entropy estimating genetic algorithm(AEEGA) is proposed.The algorithm can adaptively adjust the crossover probability and mutation probability according to populations’ entropy and individuals’ fitness.The virtual channels’ scheduling flow is designed based on evolution operation.Experimental results show that the algorithm can maintain high-priority services’ excellent performances of packets residual,packets dropping rate and delay,and keep preferable fairness for all virtual channels.Meanwhile,it has stronger global searching ability than adaptive genetic algorithm and higher overall satisfaction than dynamic priority scheduling algorithm." @default.
- W2365391834 created "2016-06-24" @default.
- W2365391834 creator A5017108350 @default.
- W2365391834 date "2013-01-01" @default.
- W2365391834 modified "2023-09-23" @default.
- W2365391834 title "AOS Virtual Channel Scheduling Based on Genetic Algorithm of Adaptive Entropy Estimation" @default.
- W2365391834 hasPublicationYear "2013" @default.
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