In calculating representational priority, representations are evaluated with two indicators: ambiguity, which estimates the risk of recognition failure for the target in a region of interest (ROI), and stationarity, which indicates a steadiness of the ambiguity over time.
Table 1 User priorities representation User priorities Traffic designation Frame type 0 Background Data 1 Best effort Data 2 Excellent effort Data 3 Video Data 4 Voice Data or management 5 Medical data or network control Data or management 6 High priority medical data Data or management or network control 7 Emergency or medical implanted Data event report .
In the priority-based representation, the priorities of the nodes are shown by the values in a list.
Priority-based representation method is used to generate feasible solutions without using excessive repair mechanism (Gen and Cheng 2000).
Among reviewed papers, the papers that utilized priority-based representation are classified according to the type of the proposed supply chain and its specifications in Table 3.
Although the priority-based representation simplifies the optimization procedure, updating velocities may be too complex because the routine velocity formula cannot update the permutation.
Activities of the PRC4ECCE will respond to national-level priorities through representation on the Council.
When setting priorities, both representation and persistence should be key targets: i.e., representation of all species and the habitats they occupy, and persistence of both species and the ecological and evolutionary processes that allow biodiversity to persist over time.
Sparse representation-based inpainting methods [41] As described above, the method in[41] adopts the new modeling of patch priority and patch representation, which are two crucial steps for patch propagation in the exemplar-based inpainting approach, based on sparsity.
By constructing the corresponding relation between real vector and the chromosome obtained by using priority rule-based representation method, job shop scheduling is converted into a continuous optimization problem.
Specifically, in their method, new modeling of patch priority and patch representation, which are two crucial steps for patch propagation in an exemplar-based inpainting approach, based on sparsity is adopted.
