The main difference from the single objective optimization problem is that several output metrics are considered to obtain the set of non dominated solutions (Pareto front). Show moreView article Advances in Imaging and Electron Physics Tobias Klein, ... Carl Georg Frase, in Advances in Imaging ...
Borda count method is then employed to select the most appropriate compromise monitoring layout from the Pareto-front solutions given regional priorities and concerns.doi:10.1007/s10661-021-08933-2Bakhtiari, Parnian HashempourDepartment of Civil and Environmental Engineering, Shiraz University, Shiraz, ...
We often usethe Pareto principle—often known as the “80/20 rule”—to set an actionable target for teams: aim for up to 80% of any given page to be made of design system components and leave room for 20% of the page to be custom. That remaining 20% iswhere the invention and inn...
However, due to the limited wireless-service coverage, a drone needs to consume most of its energy when flying over long distances to the top of a target area, leaving limited energy leftover for the hovering and wireless coverage in the service phase. It is important to minimize the maximum...
The need for longer lasting and wider wireless coverage has driven the transition from a single drone to drone swarms. Unlike the single drone, drone swarms can collaboratively achieve full coverage over a target area. However, the existing literature on
Moreover, the parameter configuration of the proposed ACE method is shown in Table 3. For two different satellite altitudes, this article presents two different feasible solution sets to meet the requirement of access. Figure 6. NSGA-II Pareto front for different traffic models. Table 3. The ...
When excluding one country from the generation mix, the Pareto front can be expected to move to the right. As seen from the example of Figure 1b, this results in decreased efficiency and a negative sign for the percentage change of the hypervolume indicator....
Cardinality: the number of solutions contained in the front. Hypervolume: estimates the proximity of the solutions to the Pareto optimal front. The hypervolume is given by the sum of the hypercubes formed by the nondominated solutions obtained by the algorithms. It calculates the coverage region vo...
Curves of Pareto fronts lie closer together and to the baseline front, as the quantization takes a lower toll on models performance when without visually ambiguous data. Based on these results, following observations will be emphasised to make a deduction. Increased quantization did not cause ...
Finally, each management node uses a constrained non-dominated sorting genetic algorithm (NSGA-II) to obtain the Pareto set of the model and the best strategy via technique for order preference by similarity to an ideal solution (TOPSIS). The algorithm first considers the effect of harsh under...