Научен доклад ID 2366 : 2023/2

Engineering problems are some of the currently most prominent research issues. One of the classes of engineering problems are engineering design problems, where a set of variables is calibrated for the optimization function to have a minimal or maximal value. This function often considers energy efficiency, cost efficiency, production efficiency, etc., in engineering design. One of the ways in which such problems are solved is the application of metaheuristics. This paper demonstrates how the Beluga Whale Algorithm can be used to solve certain optimization problems in mechanical engineering. Firstly, a brief review of the Beluga Whale Algorithm, as well as its biological inspiration, is given along with the most important formulae. The pseudo code for this algorithm was written using the MATLAB R2022a software suite. The Beluga Whale Algorithm was used for the optimization of engineering problems, such as: 3D beam optimization, multiple-disk clutch brake and cantilever beam optimization. The results presented in this paper show that the Beluga Whale Algorithm can produce relevant results in the field of engineering design problems.