Structural topology optimization of magnetic actuators using genetic algorithms and ON/OFF sensitivity

Jae Seok Choi; Jeonghoon Yoo

doi:10.1109/TMAG.2009.2016297

Structural topology optimization of magnetic actuators using genetic algorithms and ON/OFF sensitivity

Jae Seok Choi, Jeonghoon Yoo

Department of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

44 Citations (Scopus)

Abstract

In genetic algorithm (GA) based topology optimization problems, characteristics of an initial population are important for the rapid and stable convergence. This paper introduces an algorithm generating randomly an initial population with superior hereditary characteristics. To avoid the generation of small structural spots, the blurring technique is proposed. The connectivity of seed elements considerging the magnetic flux flow in the design domain is focused. Differently from the classical GA by linear strings, this study deals with two-dimensonal chromosomes and the geographic crossover method to increase the diversity of offspring. The proposed design algorithm is applied to the yoke optimization of magnetic actuators.

Original language	English
Article number	4816002
Pages (from-to)	2276-2279
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	45
Issue number	5
DOIs	https://doi.org/10.1109/TMAG.2009.2016297
Publication status	Published - 2009 May

Bibliographical note

Funding Information:
This work was supported by the Korea Science and Engineering Foundation (KOSEF) under Grant R01-2006-000-10074-0.

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

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10.1109/TMAG.2009.2016297

Cite this

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abstract = "In genetic algorithm (GA) based topology optimization problems, characteristics of an initial population are important for the rapid and stable convergence. This paper introduces an algorithm generating randomly an initial population with superior hereditary characteristics. To avoid the generation of small structural spots, the blurring technique is proposed. The connectivity of seed elements considerging the magnetic flux flow in the design domain is focused. Differently from the classical GA by linear strings, this study deals with two-dimensonal chromosomes and the geographic crossover method to increase the diversity of offspring. The proposed design algorithm is applied to the yoke optimization of magnetic actuators.",

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Structural topology optimization of magnetic actuators using genetic algorithms and ON/OFF sensitivity

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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