A Multi-Objective Topology Optimization Methodology and its Application to Electromagnetic Actuator Designs

IEEE Transactions on Magnetics(2020)

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摘要
In this article, a multi-objective topology optimization (MOTO) methodology based on the hybridization of the Non-dominated Sorting Genetic Algorithm II (NSGAII) and Differential Evolutionary (DE) algorithm is proposed. The framework of the proposed hybrid multiobjective optimization (MOO) algorithm is elaborated, and its performances and advantages over existing standard MOO methods are evaluated...
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关键词
Topology,Optimization,Standards,Actuators,Magnetic domains,Saturation magnetization,Electromagnetics
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