Structural switched reluctance motor optimization using the genetic algorithm

Natan Tzvi Shaked, Raul Rabinovici

Research output: Contribution to journalArticlepeer-review


This paper uses the Genetic Algorithm (GA) in order to make a structural optimization of the switched reluctance motor (SRM). The objective function in this optimization is chosen to minimize the outer volume of the motor, or in other words, to maximize its output power. This paper explains the optimization procedure step by step and shows the results and the conclusions of a simulation which was done in order to check this procedure
Original languageAmerican English
JournalJournal of Electrical Engineering
Issue number4
StatePublished - 2006
Externally publishedYes


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