A clonal selection algorithm for optimization in electromagnetics
A clonal selection algorithm for optimization in electromagnetics
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DOI：
10.1109/tmag.2005.846043
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发表时间：
2005-05
影响因子：
2.1
通讯作者：
F. Campelo;F. Guimarães;H. Igarashi;J. A. Ramírez
中科院分区：
文献类型：
--
作者：
F. Campelo;F. Guimarães;H. Igarashi;J. A. Ramírez
提出了一种用于电磁优化设计的实数编码克隆选择算法。讨论了该算法的一些特点，如克隆数、变异范围、每代选择的种群比例等。为了说明该算法在实际电磁问题中的性能，对Team shop问题22进行了研究。将得到的结果与遗传算法得到的结果进行了比较，结果表明RCSA在实际优化问题中是有效的。
This paper proposes the real-coded clonal selection algorithm (RCSA) for use in electromagnetic design optimization. Some features of the algorithm, such as the number of clones, mutation range, and the fraction of the population selected each generation are discussed. The TEAM Workshop problem 22 is investigated, in order to illustrate the performance of the algorithm in a real electromagnetic problem. The results obtained, a set of optimal solutions representing a broader range of options for the designer, are compared with those achieved by a genetic algorithm, showing the efficiency of the RCSA in practical optimization problems.