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In the PSO based method, a novel global best position selection method is designed.
From the multi-agent perspective we present a behavior-based technique for position selection and the so-called holonic approach.
This is because AC coefficient position selection has no effect when all AC coefficients are used for embedding.
We propose guidelines for maximizing mass utilization by way of thermal source type and its position selection and tooling factor prediction.
We then design a Pareto archive particle swarm optimization, in which the global best position selection is combined with the crowding measure-based archive maintenance.
Therefore, the time complexity of the best position selection for each node is O(n 2+n+n 2), that is O(n 2).
Similar(31)
Although we found a clear association between CTL responses and viral evolution for six of the positions under positive selection, no such association was found for the other 14 positions.
Negative selection maintains critical functions in many positions, and positive selection would affect specific regions of proteins associated with differences in response to the therapy.
Furthermore, using an independent phylogenetic method, codeml [49], we identified 20 amino acid positions undergoing positive selection within the Nef region.
The fourth model was based on the 18 positions under positive selection (Appendix) (7).
Five amino acid positions under positive selection were detected in Pg11c.
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