article · IEEE Transactions on Magnetics · 2005
A clonal selection algorithm for optimization in electromagnetics
Felipe Campelo, Frederico Gadelha Guimarães, Hajime Igarashi, J.A. Ramírez
Cited by 128Abstract and details only
Abstract
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.
Cite this paper
Campelo, F., Guimarães, F. G., Igarashi, H., & Ramírez, J. (2005). A clonal selection algorithm for optimization in electromagnetics. IEEE Transactions on Magnetics, 41(5), 1736–1739. https://doi.org/10.1109/tmag.2005.846043
Campelo, Felipe, et al. “A clonal selection algorithm for optimization in electromagnetics.” IEEE Transactions on Magnetics, vol. 41, no. 5, 2005, pp. 1736–39, https://doi.org/10.1109/tmag.2005.846043.
Campelo, Felipe, Frederico Gadelha Guimarães, Hajime Igarashi, and J.A. Ramírez. 2005. “A clonal selection algorithm for optimization in electromagnetics.” IEEE Transactions on Magnetics 41 (5): 1736–39. https://doi.org/10.1109/tmag.2005.846043.
Campelo, F. et al. (2005) ‘A clonal selection algorithm for optimization in electromagnetics’, IEEE Transactions on Magnetics, 41(5), pp. 1736–1739. Available at: https://doi.org/10.1109/tmag.2005.846043.
@article{campelo2005clonal,
title = {{A clonal selection algorithm for optimization in electromagnetics}},
author = {Campelo, Felipe and Guimarães, Frederico Gadelha and Igarashi, Hajime and Ramírez, J.A.},
journal = {IEEE Transactions on Magnetics},
volume = {41},
number = {5},
pages = {1736--1739},
year = {2005},
doi = {10.1109/tmag.2005.846043}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.