Abstract:

Metastic search algorithms are widely used to solve different optimization problems in many applications. In particular, in recent years, many different metasegic algorithms have been developed, inspired by physical, chemical or biological events to effectively solve complex optimization problems. The March Optimization Algorithm (MOA), which is developed inspired by the immigration and aggressive behavior of the martian in nature, is an effective biology-based metasegmental method for solving cost-effective optimization problems. In this study, to evaluate the performance of the MOA, the MOA target functions, limitations and decision variables have been applied to five different limited engineering design issues. The results obtained with MOA are compared with different metasecular algorithms. According to the results of the experiment, MOA gave quite good results compared to other optimization methods compared.

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