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 ex
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...
Artificial intelligence (AI) methods for intelligent energy management with linear programming-based multi-objective optimization have been developed. The proposed multi-objective intelligent energy management (MIEM) seeks to reduce the system’s environmental effects and operating expenses. In this scenario...
Flowchart describing the dual-thread decision maker Full size image The first logic thread, on the left, is for the anomaly detection and model updating. There are a variety of anomaly detection approaches, including clustering, nearest neighbors, statistical, subspace, classifier and others [28, ...
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) ...
Fig. 3. Flowchart for GAEJP. 4.2.1. One to n schedule building The 1 to n schedule building firstly transforms an individual into a semi-active schedule. All the idle periods within the schedule are evaluated to find those which are sufficiently long to allow a machine to be turned off ...
To eliminate the influences of sequence length, Pm,n is normalized into the [0, 1] inter- val by using logistic function: E Ri →ai ¼ 1 1−e−Pm;n ð3Þ Finally, feature vector fERi→ai jR∈½1; L; i∈f1; 2; …; 20gg was generated to construct the features of...
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...
a posteriori technique, though potentially offering more precise outcomes, can be intricate to implement and might be resource-intensive. Interactive techniques strike a balance, enabling the decision-maker to influence the outcomes, potentially enhancing solution quality. The techniques are illustrated in...
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...