The pseudo-code of the proposed mAHA algorithm is provided in Algorithm 2 and the flowchart is presented in Fig. 1. Figure 1 Flowchart of mAHA algorithm. Full size image Algorithm 2 Pseudo-code of the proposed mAHA algorithm. Full size image Application of mAHA: optimal power flow and ...
For MPPT, the position of each firefly is the duty cycle and the brightness is considered as a power generative. The principle operation of the FA has been presented by a flowchart in Fig. 16. Sign in to download full-size image Fig. 16. FA technique flowchart to track the MPP. ...
The basic flowchart of the genetic algorithm is shown in Fig. 1.20. Sign in to download full-size image Figure 1.20. Flowchart of a genetic algorithm. View chapter Book 2021, Applications of Big Data in HealthcarePijush Kanti Dutta Pramanik, ... Simar Preet Singh Related terms: Artificial ...
based techniques, a subset of population-based techniques (PBT), involve the initial generation of a population of solutions, which are progressively improved through iterative processes such as reproduction, mutation, and natural selection. Examples of these techniques include the genetic algorithm14, e...
Also, the flowchart for the proposed approach is shown in Fig.2, while the procedural steps supporting the flowchart are shown in the “Implementation of procedural steps” subsection. Fig. 2 The algorithm’s implementation flow chart Full size image ...
Figure 1. Flowchart of trustworthy route planning method. Display full size 2.1. Trustworthiness method Figure 2 depicts a general flowchart for providing trustworthiness for decision-making. Environmental factors, such as static things and external actors, are considered while choosing decision-making pro...
Flowchart of the exhaustive design algorithm. Simplified description of the exhaustive design algorithm of EGNAS. The input of the design criteria and options is used to generate basic sequences and the filter. The filter extracts valid basic sequences before the set generation. Additionally, strings...
Flowchart of personalized robust zero-watermarking algorithm. 4.2 Weighted reconstruction of images based on non-uniform rectangular partition Digital image content usually has a certain amount of redundancy; however, this type prevents the model from extracting appropriate zero-watermarking features and incr...
As shown in Fig.1, our quantum-assisted model was a hybrid algorithm composed of both quantum and classical generative components. The quantum generative model used a QCBM model while the classical component used an LSTM model. Extended Data Fig.3illustrates the flowchart of our proposed generativ...
In particular, the flowchart of BMO is demonstrated in Fig. 5. Sign in to download hi-res image Fig. 5. The flowchart of BMO. BMO owns the promising merits of simple structure, easy implementation, and excellent ability to escape from local optimum compared with other conventional meta-...