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Application of evolutionary algorithm to optimization of DWDM networks
Author(s): Kacper Wnuk; Arkadiusz Sikorski; Sławomir Sujecki; Stanisław Kozdrowski
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Paper Abstract

The subject of the study is an application of Integer Programming method and Evolutionary Algorithm to optical Dense Wavelength Division Multiplexing network optimization. The main objective of the optimization is to minimize capital expenditure, which includes the costs of optical node resources, such as transponders and filters used in New Generation of Reconfigurable Optical Add Drop Multiplexers. For this purpose a model based on Integer Programming is proposed. The efficiency of the Integer Programming based software is compared with that of Evolutionary Algorithm. The results obtained show that there is an advantage in using EA for optimizing a large optical network when compared with Integer Programming. A realistic network of large dimension and traffic demand set was used in the numerical experiments.

Paper Details

Date Published: 13 September 2019
PDF: 5 pages
Proc. SPIE 11204, 14th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods, 112040D (13 September 2019); doi: 10.1117/12.2536756
Show Author Affiliations
Kacper Wnuk, Warsaw Univ. of Technology (Poland)
Arkadiusz Sikorski, Warsaw Univ. of Technology (Poland)
Sławomir Sujecki, Wroclaw Univ. of Science and Technology (Poland)
Stanisław Kozdrowski, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 11204:
14th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods
Przemyslaw Struk; Tadeusz Pustelny, Editor(s)

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