Özet:

Optimization is the process of choosing the most suitable of an alternative solution to a problem. For the solution of optimization problems, many intuitive optimization algorithms are recommended that can provide solutions close to optimization in an acceptable time. Although there are very successful intuitive optimization algorithms in literature, the algorithms that find the best solution for solving all problems have not yet been designed. Therefore, new intuitive optimization algorithms are recommended or recommendations are offered for the more effective work of the existing ones. In this study, for global optimization, EM-PSO was proposed, a new methode, which consists of a combination of the electromagnetism-like (EM) algorithm and the particle mass optimization (PSO) algorithm. In the suggested method, the load and total strength values in the EM algorithm were used instead of the fixed ratings in the speed equation of the PSO algorithm, and the movement of particles in the EM algorithm was performed with this equation. The performance of the recommended method has been tested using five different quality test functions and the results are compared with the results of the standard EM and PSO algorithms. Experimental results have shown that the recommended method is more successful than the standard EM and PSO algorithms.

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