Journal Article10.1007/s42835-022-01183-3
An Efficient Multi-objective Optimization Algorithm Exploiting Gradient Enhanced Kriging with Optimally Selected Basis Functions for Electromagnetic Design
TL;DR: Numerical test show that the novel multi-objective optimization strategy utilizing the gradient enhanced dynamic kriging (GEDK) method yields the same Pareto-front compared with the traditional NSGA-II method with less finite-element analysis calls.
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About: This article is published in Journal of Electrical Engineering & Technology. The article was published on 15 Aug 2022. The article focuses on the topics: Kriging & Multi-objective optimization.
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References
A Novel Adaptive Dynamic Taylor Kriging and Its Application to Optimal Design of Electromagnetic Devices
TL;DR: An adaptive dynamic Taylor Kriging (ADTK) is developed and combined with the particle swarm optimization algorithm to get a numerically efficient optimization strategy.
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A Numerically Efficient Multi-Objective Optimization Algorithm: Combination of Dynamic Taylor Kriging and Differential Evolution
TL;DR: A dynamic Taylor Kriging (DTK) is newly developed and combined with a multi-objective differential evolution algorithm to get a numerically efficient multi-Objective optimization strategy.
15
Bayes approach to solving T.E.A.M. benchmark problems 22 and 25 and its comparison with other optimization techniques
TL;DR: The results confirm that the Bayes approach is superior in a number of aspects and for the solution of real-life tasks it represents a powerful and prospective alternative to existing optimization methods.
12
A Second-Order Design Sensitivity-Assisted Monte Carlo Simulation Method for Reliability Evaluation of the Electromagnetic Devices
Ziyan Ren,Chang Seop Koh +1 more
TL;DR: In this paper, the second-order sensitivity analysis is presented by using the hybrid direct differentiation-adjoint variable method incorporated with the finite element method to improve its accuracy for wide application.
10
An Adaptive Optimization Algorithm Based on Kriging Interpolation with Spherical Model and its Application to Optimal Design of Switched Reluctance Motor
TL;DR: The proposed algorithm is validated by application to the optimal design of a switched reluctance motor, where the stator pole face and shape of pole shoe attached to the lateral face of the rotor pole are optimized to reduce the torque ripple.