Multi-Objective Optimization of Switched Reluctance Machine Design Using Jaya Algorithm (MO-Jaya)

The switched reluctance machine (SRM) design is different from the of most other machines. SRM has many parameters that have non-linear relationships with performance indices (i.e., average torque, efficiency, and so forth). Hence, it difficult to using straight forward equations iterative methods, which common for Optimization techniques are used overcome this challenge by searching best variables values within search area. In paper, optimization achieved multi-objective Jaya algorithm (MO-Jaya). algorithm, solutions moved closer solution away worst solution. a good intensification process achieved. Moreover, randomly changed achieve diversity. suggested also change solutions. better diversity achieved, as indicated results. MO-Jaya was made 8/6 6/4 SRM. Objectives iron weight. results compared non-dominated sorting genetic (NSGA-II) same conditions constraints. program in Lua programming language executed FEMM4.2 software. show success approach objective values, broad search, introduce variety optimal