A Hybrid Algorithm by Combination of Genetic Algorithm and Local Optimization for Constrained MHD Pump Optimization

被引：0

作者：

Bouali, Khadidja ^{[1
]}

Kadid, Fatima Zohra ^{[2
]}

Abdessemed, Rachid ^{[2
]}

机构：

[1] Ouargla Univ, Dept Elect Engn, Ouargla 30000, Algeria

[2] Univ Batna2, Dept Elect Engn, Batna 05000, Algeria

来源：

PROCEEDINGS 2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL SCIENCES AND TECHNOLOGIES IN MAGHREB (CISTEM) | 2018年

关键词：

Hybrid algorithm; Genetic algorithm (GA); Fmincon; Design; Optimization; MHD Magnetohydrodynamic; Conduction pump; Finite Volume Method;

D O I：

暂无

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：

The pumping of liquid metals by magnetohydrodynamic (MHD) converters, without any moving parts are competing with conventional hydraulic pumps. Thus, the movement of the fluid is a consequence of the interaction the magnetic and electric fields. This work relates to the application of an approach for optimal design of a DC magneto-hydrodynamic pump. The optimization method is based on the solution of non-linear constrained problem by combination global and local optimization method. This paper applies the hybrid algorithm by combination of genetic algorithm and Fmincon for optimal design of DC MHD pump. The comparative study of the obtained results shows that the performance of the hybrid method is effectively improved.

引用

页码：497 / 501

页数：5

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