Multiobjective electromagnetic devices design based on improved EDA with sequential optimization of the probability model

Author

Lei, Gang ; Guo, Youguang ; Zhu, Jianguo ; Li, Kewei ; Li, Yanbin ; Shao, K.R.

Author_Institution

Coll. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2011

fDate

20-23 Aug. 2011

Firstpage

1

Lastpage

4

Abstract

We present an improved estimation of distribution algorithm (EDA) with a new sampling probability model (SPM) to deal with the multiobjective optimization design problems of electromagnetic devices. The new SPM is constructed and updated based on the sequential optimization method. Its sampling efficiency is better than traditional methods and its sample includes more information about the optimization problem. Finally, by investigating a test function and the TEAM Workshop problem 22, we can see that the optimization efficiency of multiobjective EDA can be improved a lot by the new SPM.

Keywords

electromagnetic devices; optimisation; probability; sampling methods; SPM; TEAM Workshop problem 22; estimation of distribution algorithm; multiobjective EDA; multiobjective electromagnetic device design; multiobjective optimization design problem; optimization efficiency; sampling efficiency; sampling probability model; sequential optimization method; test function; Algorithm design and analysis; Benchmark testing; Electromagnetic devices; Genetic algorithms; Optimization; Solenoids; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems (ICEMS), 2011 International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4577-1044-5

Type

conf

DOI

10.1109/ICEMS.2011.6073615

Filename

6073615