A greedy genetic algorithm for continuous variables electromagnetic optimization problems

被引：14

作者：

Fanni, A

Marchesi, M

Serri, A

Usai, M

机构：

[1] Dipartimento di Ingegneria Elettrica ed Elettronica, 09123 Cagliari, Piazza d'Armi

来源：

IEEE TRANSACTIONS ON MAGNETICS | 1997年 / 33卷 / 02期

关键词：

D O I：

10.1109/20.582659

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 paper, a greedy Genetic Algorithm for continuous variables electromagnetic optimization problems is presented, The presented algorithm is characterized by the use of a nonlinear simplex method as a principal optimizator, and of a greedy genetic algorithm to explore the search space, realizing a balance between diversity and a bias toward fitter individuals. The resulting algorithm merges the efficiency typical of calculus-based search with the robustness typical of random methods, A detailed comparison of performances obtained implementing several strategies is eventually presented, using an electromagnetic design test problem.

引用

页码：1900 / 1903

页数：4

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