**6. Conclusions**

In this paper, the Jaya algorithm is introduced to solve SRM optimization problem. The proposed approach considers the multi-objectives optimization of SRM design problem. Results show the success of Jaya algorithm to achieve good diversification and good intensification.The contribution in this paper can be summarized by the comparison between MO-Jaya and NSGA-II methods for the same design requirements and constracomparedints. MO-Jaya showed much better performance and a wider search area with results of NSGA-II. The reasons for this is the random choice of parameters, best and worst solutions in Jaya algorithm that achieve considerably more search diversity. The introduced

approach represents a framework that can adopt any application requirements and calculation methods. Further work is required to develop the calculation methods and the design parameters to include other important requirements of SRM, such as torque ripple minimization, thermal modelling, and so forth. Finally, the decision is left to the designer to pick the most convenient design from a wide variety of optimal of solutions.

**Author Contributions:** Conceptualization, M.E.-N.; methodology, M.E.-N. and M.A.; software, M.A., M.E.-N.; validation: M.E.-N. and M.I.; formal analysis, M.E.-N. and M.A.; investigation, M.E.-N. and M.I.; resources, M.E.-N.; data curation, M.A. and M.I.; writing—original draft preparation, M.A. and M.E.-N.; writing—review and editing, M.E.-N., M.I. and H.R.; visualization, M.A. and H.R.; supervision, M.E.-N.; project administration, M.E.-N.; funding acquisition, H.R. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research received no external funding.

**Institutional Review Board Statement:** Not applicable.

**Conflicts of Interest:** The authors declare no conflict of interest.
