Optimal design of electromagnetic devices: Development of an efficient optimization tool based on smart mutation operations implemented in a genetic algorithm

Denies, Jonathan; Ahmed, Hamid Ben; Dehez, Bruno

doi:10.1016/j.matcom.2013.01.002

Cited by 2 publications

(1 citation statement)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ecosystem-inspired optimizations have been widely used for the optimization of the electromagnetic machine [4][5][6][7][8][9][10][11][12][13][14][15]. These algorithms can find a number of optima, which include the global solution through a large number of function evaluations.…”

Section: Introductionmentioning

confidence: 99%

Minimization of a Cogging Torque for an Interior Permanent Magnet Synchronous Machine using a Novel Hybrid Optimization Algorithm

Kim¹,

Woo²,

Lim³

et al. 2014

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

-Optimization of an electric machine is mainly a nonlinear multi-modal problem. For the optimization of the multi-modal problem, many function calls are required with much consumption of time. To address this problem, this paper proposes a novel hybrid algorithm in which function calls are less than conventional methods. Specifically, the proposed method uses the kriging metamodel and the fill-blank technique to find an approximated solution in a whole problem region. To increase the convergence speed in local peaks, a parallel gradient assisted simplex method is proposed and combined with the kriging meta-model. The correctness and usefulness of the proposed hybrid algorithm is verified through a mathematical test function and applied into the practical optimization as the cogging torque minimization for an interior permanent magnet synchronous machine.

show abstract