Finally, study is devoted to the comparison between the existing methods and the proposed one.
A comparative analysis is performed between the existing methods, the nine generalized methods and the novel method, by applying extensive numerical simulations in a Brazilian regional utility, by using PSCAD/EMTDC and MATLAB.
A comparative analysis between the existing methods and the five novel extended methods is performed by applying extensive numerical simulations in a Brazilian regional transmission and sub-transmission utility.
This is the biggest difference between the existing methods and the proposed method.
This also ensures a fair comparison between the existing methods.
In order to have a clear understanding of the improvement made to the existing method when using the proposed algorithms, a comparison was made between the proposed algorithms and a previously existing bidirectional search method, FAST-PPR.
To demonstrate the benefit of our proposed approach, which is called improved BQIGSA, a comparison between this approach and the existing methods including Binary Genetic Algorithm (BGA), Binary Particle Swarm Optimization (BPSO), the Quadrivalent Quantum-Inspired Gravitational Search Algorithm (QQIGSA) and the Binary Quantum-Inspired Gravitational Search Algorithm (BQIGSA) is given.
Note that in the above experiment, we used the difficult condition, i.e., larger size patches, in order to make the difference of the inpainting performance between our method and the existing methods clearer.
This haplotype model, combined with linkage information captured in the haplo-frequencies, gives CARROT a significant advantage in differentiating between rotated relationships compared with the existing methods.
Localization performance comparison between the proposed tracking strategy and the existing methods SDP and WLS is also presented in this section.
