Figure 4 Flowchart of MOEDO algorithm. Full size image Algorithm 2 Generation of t of MOEDO Algorithm with IFM procedure Full size image Results and discussion In this section, we present the results derived from our research and experiments, which were conducted to evaluate the efficacy of the...
Flowchart outlining the SaCryStAl algorithm. Full size image Pseudo-code of SaCryStAl Initializing the positions of crystals \(C_{ij}\) and \(\overline{C}_{ij}\) using (1) & (7). Calculate the fitness value for all the crystals. Generate random “ r“ value using Eq. (8) while N...
Flowchart outlining the SaCryStAl algorithm. Full size image Pseudo-code of SaCryStAl Initializing the positions of crystals \(C_{ij}\) and \(\overline{C}_{ij}\) using (1) & (7). Calculate the fitness value for all the crystals. Generate random “ r“ value using Eq. (8) while N...
Interactive techniques: these strategies necessitate human engagement throughout the optimization phase. They grant the decision-maker the ability to engage with the optimization process and offer insights on the outcomes produced by the algorithm20. Examples of interactive techniques include interactive gene...
Flowchart for the proposed algorithm. Full size image The weight factor ‘\(w\)’ value is decreased from 1 to 0 with a tiny step size to get the more feasible solution and for every ‘\(w\)’ one compromised solution will be generated. All are plotted, and the fuzzy decision-making ...
Though different authors used a slightly different iteration algorithm due to different component models, the basic process was similar. Flowchart of Cheung and Braun’s cycle solver is shown in Fig. 4 as an example of the conventional way. Most researchers used the same order from the compressor...
Figure 6. The AHP implementation flowchart. 4.4. Implementation Procedure of EETD Problem The implementation of the presented algorithms, including the AHP and the TOPSIS, can be summarized as follows: Set the input data of TPGs and RESs; WP, PV, and PVTP as given in Table 3 in addition...
Fig. 9. The flowchart of the overall REMS-GOA computational procedure. 3.4.1. Application of the GOA for optimal capacity planning problem The computational steps of the devised GOA algorithm are as follows: Step 1: Load input data. a) Load climatological database (ambient temperature, wind sp...
Figure 1 illustrates the flowchart of Jaya algorithm. 4. Application of Jaya Algorithm to OPF Problem The following steps describe the proposed process of applying the Jaya algorithm to solve the OPF problem: Step 1 Step 2 Step 3 Define the branch data, active and reactive power load levels,...
The flowchart of the proposed heuristics is shown in Figure 2. From Figure 2, we can explain the process step-by-step as follows: (1) Generate the initial population (NP) according to the size of D-dimensional vectors that are set by the number of producers, the number of palm-...