Application of evolutionary algorithm to optimization of DWDM networks

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, s...

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Bibliographic Details
Main Authors Wnuk, Kacper, Sikorski, Arkadiusz, Sujecki, Sławomir, Kozdrowski, Stanisław
Format Conference Proceeding
LanguageEnglish
Published SPIE 13.09.2019
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ISBN151063150X
9781510631502
ISSN0277-786X
DOI10.1117/12.2536756

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Summary: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.
Bibliography:Conference Location: Szcyrk-Gliwice, Poland
Conference Date: 2019-02-25|2019-03-01
ISBN:151063150X
9781510631502
ISSN:0277-786X
DOI:10.1117/12.2536756