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

被引：14

作者：

Li, Yilun ^{[1
,2
]}

Liu, Lei ^{[1
]}

Yang, Shiyou ^{[1
]}

Ren, Zhuoxiang ^{[3
]}

Ma, Yanhong ^{[4
]}

机构：

[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China

[2] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China

[3] Sorbonne Univ, L2E, UR2, F-75005 Paris, France

[4] State Grid Gansu Elect Power Co, Lanzhou 730030, Peoples R China

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2020年 / 56卷 / 02期

关键词：

Evolutionary algorithm; multiobjective optimization (MOO); topology optimization (TO); MAGNETIC ACTUATOR;

D O I：

10.1109/TMAG.2019.2952834

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

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 and demonstrated by solving typical mathematical test functions. To validate the proposed hybrid MOTO methodology, it is applied to the topology optimization of an electromagnetic actuator. Both linear and nonlinear cases are investigated. The numerical results demonstrate that a set of novel topologies with improved multiple objectives is obtained.

引用

页数：4

共 9 条

[1] Jumping gene adaptations of NSGA-II and their use in the multi-objective optimal design of shell and tube heat exchangers [J].

Agarwal, Aaditya ;

Gupta, Santosh K. .

CHEMICAL ENGINEERING RESEARCH & DESIGN, 2008, 86 (A2) :123-139

[2]

[Anonymous], 2001, 103 TIK REP

[3] A fast and elitist multiobjective genetic algorithm: NSGA-II [J].

Deb, K ;

Pratap, A ;

Agarwal, S ;

Meyarivan, T .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) :182-197

[4] Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems [J].

Deb, Kalyanmoy .

EVOLUTIONARY COMPUTATION, 1999, 7 (03) :205-230

[5]

[孔祥勇 Kong Xiangyong], 2014, [东北大学学报. 自然科学版, Journal of Northeastern University. Natural Science], V35, P484

[6] A Methodology Based on Quantum Evolutionary Algorithm for Topology Optimization of Electromagnetic Devices [J].

Li, Yilun ;

Yang, Shiyou ;

Ren, Zhuoxiang .

IEEE TRANSACTIONS ON MAGNETICS, 2019, 55 (06)

[7] Design of Magnetic Actuator With Nonlinear Ferromagnetic Materials Using Level-Set Based Topology Optimization [J].

Park, Sang-in ;

Min, Seungjae .

IEEE TRANSACTIONS ON MAGNETICS, 2010, 46 (02) :618-621

[8] Magnetic Actuator Design Using Level Set Based Topology Optimization [J].

Park, Sang-in ;

Min, Seungjae ;

Yamasaki, Shintaro ;

Nishiwaki, Shinji ;

Yoo, Jeonghoon .

IEEE TRANSACTIONS ON MAGNETICS, 2008, 44 (11) :4037-4040

[9] Comparison of Multiobjective Evolutionary Algorithms: Empirical Results [J].

Zitzler, Eckart ;

Deb, Kalyanmoy ;

Thiele, Lothar .

EVOLUTIONARY COMPUTATION, 2000, 8 (02) :173-195

← 1 →