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This paper presents a GPU-accelerated parallel MAX-MIN Ant System (MMAS) algorithm based on an approach named grouped roulette wheel selection (G-Roulette). A data parallel model is adapted in the proposed approach with special consideration for GPU architecture. We propose a G-Roulette strategy to enhance the parallel computation of fitness-proportionate selection. The G-Roulette strategy includes...
Gene regulation network is playing a more and more important role in system biology, bioinformatics and pharmacology in the era of post-genomic. This paper presents a high efficient and accurate method to model gene regulation network. In the method, we first use an improved Multi-Agent System (Im-MAS) to fuse multiple data sources to generate an initial network, and then we use dynamic Bayesian network...
Grid computing has a significant impact on the next generation information infrastructure where job schedules plan an important role. High performance grid schedule must select the appropriate resources which meet the requirement of the clients and ensure the jobs can be finished within deadline. However, current time-based grid schedule only consider part of the time factors to estimate the job execution...
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