Multi-Verse Optimizer as a Tool for Efficiency Improvement of Permanent Magnet Motor

This paper proposes an application of a novel nature-inspired algorithm called Multi-Verse Optimizer (MVO) in the efficiency improvement of a permanent magnet motor. This algorithm is based on the following three main inspirations in cosmology: white hole, black hole, and wormhole. The mathematical presentation of these three concepts is implemented in order to perform exploration, exploitation, and local search on the search area, respectively. In this work this algorithm is used to perform an optimal design on a permanent magnet motor where the inverse value of the efficiency of the motor is defined as an objective function. Comparative analysis of the initial and the optimized motor model is performed using the data from the optimization as well as from the performed Finite Element Analysis for the investigated models.