The GCLP algorithm computes a mapping by using an adaptive optimization objective at each iteration.
Finally, on the basis of the above researches, we proposed an adaptive optimization model of mobile data transmission.
On the basis of the above schemes, we proposed an adaptive optimization model of mobile data transmission.
The choice of exploiting the symbol decisions taken by users instead of using random symbols has been considered in order to improve the convergence of the adaptive optimization algorithm (as already noted in [14]).
Figure 2 The network reassignment in an adaptive routing optimization on the topology in Figure 1.
The performance of an adaptive routing optimization in a dynamic network was also simulated in this paper.
The developed simulation optimization system was used to compare deterministic and stochastic optima, as well as the results of anticipatory and adaptive optimization approaches.
In this paper, we report on how a recently introduced Parametrized Cognitive Adaptive Optimization – abbreviated as PCAO – can be used toward the design of both model-based and model-free "plug-and-play" BOC systems, with minimum human effort required to accomplish the design.
There are two basic approaches to the optimization of stand management in a risk situation: anticipatory and adaptive optimization.
Thus, an adaptive routing optimization scheme is proposed in this paper.
In this paper, an adaptive routing optimization in ZigBee hierarchical ZigBee network is proposed.
