In the current research, problems in engineering are becoming more and more prominent. One of the classes of engineering problems in engineering design problems, where a set of variables is calibrated in order for the optimization function to have a minimal or maximal value. This function considers energy efficiency, cost efficiency, and production efficiency in engineering design. One of the ways such problems are solved is metaheuristics. In this paper, we demonstrate how Dingo Optimization Algorithm (DOA) can be used to solve certain optimization problems in mechanical engineering. Firstly, a brief review of the DOA and its biological inspiration is given, along with the most important formulae. The pseudo-code for this algorithm was written using MATLAB R2020a software suite. Dingo Optimization Algorithm (DOA) was used to optimize engineering problems, such as pressure vessel optimization, stepped cantilever beam, car side-impact, and cone clutch optimization. The results presented in this paper show that the DOA can produce relevant results in engineering design problems.

Biologically inspired algorithms are becoming powerful in modern optimization. In this paper, the principles of a metaheuristic algorithm based on Harris hawks behavior are shown. The Harris Hawks Optimizer (HHO in short) was used for solving problems in applied mechanics (car side impact, cone clutch, three-dimensional beam and I beam optimization). In the end, a comparison of the results obtained by HHO and results obtained by other methods is given.

In this paper, the principles of a metaheuristic algorithm based on tunicate swarm behavior are shown. The Tunicate Swarm Algorithm (TSA for short) was used for solving problems in applied mechanics (speed reducer, cantilever beam and three-dimensional beam optimization). In the end, a comparison of results obtained by TSA and results obtained by other methods is given.

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Optimization algorithms plays a vital role in mechanical engineering. In this paper we have demonstrated how the Reptile Search Algorithm (RSA) algorithm is able to solve classical engineering design problems. In the first part, the biological reference, as well as a detailed overview of the algorithm is given. Afterwards, the RSA algorithm and the potential to solve the machine engineering design class of problems is given. The source code for this algorithm was written using MATLAB R2020a software suite. The Reptile Search Algorithm (RSA) algorithm was used for optimization problems in the field of engineering design, such as: pressure vessel optimization, disk brake optimization and cantilever beam optimization. The statistical results and comparisons show that the RSA algorithm provides comparable results to other state-of-the-art algorithms used for this problem.