Abstract
An efficient design approach of directional couplers based multiplexers/demultiplexers for optical communication applications, by using an adapted artificial immune network algorithm for optimization (opt-AiNet), is presented and validated by using the beam propagation method. Two key multiplexers/demultiplexers based on planar waveguides and optical fiber, directional couplers, have been optimized in order to validate the efficiency and usefulness of the opt-AiNet.
Highlights
Directional couplers (DC) are devices composed by two parallel dielectric waveguides, where the optical power transfers from one guide to another guide [1]
The parameters obtained after the optimization attended the imposed restrictions
The second application is the design of multiplexer/demultiplexer based on optical fiber waveguides
Summary
Directional couplers (DC) are devices composed by two parallel dielectric waveguides, where the optical power transfers from one guide to another guide [1]. The affinity level implies in the B-cell expansions (Figure 1), in the fabrication of new antibodies by cloning, which its can suffer some random changes (mutations) in their characteristics It is an important concept adapted in the algorithm as important immune operator to improve the optimization performance. The suppression affinity fee was changed to consider an acceptable coupling average value for each attribute in the group of all individuals during the generation This resource introduces flexibility for applications where the individual’s attributes are pre-determined in different intervals orders of numerical values. The Opt-AiNet algorithm presented has been developed under the Object Orientation definitions by the C++ language, allowing its reuse in further different applications, and follows the main theoretical aspects described in [12],[13],[17],[18] This computational implementation is fast enough to be disregarded in computational powerful requirements analysis, being intrinsically related only to the objective functions. When the numerical methods, such as FDTD or FEM, are adopted to model any electromagnetic devices as presented in 0[16],[19],[20], [21]
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