In this research paper, the classical Sine–Cosine Algorithm (SCA) and the proposed method Chaotic Self-Adaptive Sine–Cosine algorithm (CSASCA) were considered. The SCA has an excellent ability to find global optimism. The parameter (\({r}_{1}\)) is significant in generating new optimal so...
2.3Sine–Cosine algorithm Generally speaking, the optimization process in population-based methods begins with a series of responses that are randomly selected. The output function continually evaluates these random responses. Finally, the result of the output function gets optimized by the intended optim...
Integrating Sine Cosine Algorithm into LSCHGS algorithm can make the algorithm more effective in searching the optimal solution. By using variations of sine and cosine functions, SCA is able to explore different regions in the search space and gradually converge to the possible optimal solution. ...
3.2. Sine Cosine Algorithm (SCA) SCA is an efficient MA based on sine and cosine laws. The optimization process of SCA involves two phases: exploration and exploitation, which are balanced by the sine and cosine functions. During the exploration phase, the algorithm searches for promising areas...
sine chaotic mapping; arithmetic optimization algorithm; mathematical optimizer acceleration function; sine cosine optimization algorithm1. Introduction With the development of social needs, people are facing more and more complex problems in various fields, and the scale of computation is increasing day ...
A flowchart of the proposed fault detection and location algorithm is shown in Figure 5. Figure 5. Fault detection and location scheme, where d_wt is the distance calculated by wavelet transform (WT), Blind_d is the blind zone of the wavelet method and dH’sF the distance obtained by the...