| CONDENSED MATTER: STRUCTURAL, MECHANICAL, AND THERMAL PROPERTIES |
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Evolutionary algorithm for optimization of multilayer coatings |
| Mahdi Ebrahimi1, Mohsen Ghasemi2, Zeinab Sajjadi3 |
1 Department of Physics, Payame Noor University, P. O. Box 19395-3697, Tehran, Iran;
2 Department of Physics, Faculty of Sciences, Shahrekord University, P. O. Box 115, Shahrekord, Iran;
3 Department of Computer & Mathematics, Sheikhbahaee University, Isfahan, Iran |
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Abstract In this paper, a new evolutionary algorithm, the well-known imperialist competition algorithm, is proposed for optimizing the optical thin-films. In this method, the process is modeled of the competition between countries as imperialists and their colonizing of others as colonies. This algorithm could be an appropriate alternative to some of the more popular algorithms for optimizing the optical thin-films for good performance. The polarizer and edge filter for example are designed by using the imperialist competition algorithm method and the results are compared with those from two optimization high-performance methods:the genetic algorithm and differential evolutionary algorithm. Based on these results, the performance of the imperialist competition algorithm method shows that this algorithm is not sensitive to the change of its parameters and it can be an important advantage for quickly achieving a global optimal point. On the other hand the results show a better ratio of P-polarization transmittance to S-polarization transmittance in the design of a 1540-nm polarizer, which is more appropriate than the results from the other two methods. In the second design, an edge filter with a lower number of layers and more uniform bandpass spectrum than the counterparts of those methods is obtained. These results indicate that the imperialist competition algorithm is a robust method for optical thin-film designs.
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Received: 28 May 2018
Revised: 17 July 2018
Accepted manuscript online:
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PACS:
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68.65.Ac
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(Multilayers)
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02.60.Pn
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(Numerical optimization)
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68.37.-d
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(Microscopy of surfaces, interfaces, and thin films)
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Corresponding Authors:
Mahdi Ebrahimi
E-mail: ma.ebrahimi@pnu.ac.ir
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Cite this article:
Mahdi Ebrahimi, Mohsen Ghasemi, Zeinab Sajjadi Evolutionary algorithm for optimization of multilayer coatings 2018 Chin. Phys. B 27 106802
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