Embedded stochastic-deterministic optimization method with accuracy control

被引：6

作者：

Ioan, D ^{[1
]}

Ciuprina, G ^{[1
]}

Szigeti, A ^{[1
]}

机构：

[1] Politehn Univ Bucharest, Numer Methods Lab, Dept Elect Engn, Bucharest, Romania

来源：

IEEE TRANSACTIONS ON MAGNETICS | 1999年 / 35卷 / 03期

关键词：

optimization; electromagnetic analysis; genetic algorithms; distributed computing;

D O I：

10.1109/20.767353

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：

A distributed evolutionary strategy is used to solve the optimization problem in a subspace of the searching space. At each cost function evaluation, a deterministic method is used to find the optimal solution in the complementary subspace! with an imposed accuracy. The proposed method is applied to solve TEAM Workshop problem 22 with the control of the numerical error. In this case the stochastic method acts in the geometrical parameter subspace and an embedded deterministic technique is used in the 2D current densities subspace.

引用

页码：1702 / 1705

页数：4

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