In this paper, the Gray Wolf (GWO) algorithm has been used to design and to optimize the geometrical parameters of broadband compact silicon on insulator waveguide crossing structure operating in the wavelength range of 1400–1600 nm. The electromagnetic numerical simulations of the waveguide crossing have been conducted by using an efficient frequency domain finite element (FEM) approach. The objective function is based on the maximization of the transferred power while minimizing the crosstalk. The performance of the optimization algorithm has been assessed by adjusting the number and the initial position of the wolves. Coupling efficiency higher than 96% has been obtained. Moreover, a tolerance error analysis has been carried out for the best crossing configurations to investigate their robustness.
We propose a facilitating model for optimization of waveguide crossing using particle swarm adapted method in conjunction with 2D finite elements to discover geometric configurations associated with the best transmission efficiency values. From a base structure, it was possible to generate optimal solutions by changing the geometric parameters of the initial structure. The change in the geometric characteristics of the structure could provide an enhancement of power transmission. The results of the simulations are presented and discussed to evaluate the performance of the proposed approach. We obtained efficiency values above 95%, showing that the chosen methodologies can be applied with great flexibility for other projects in the field of photonics. In addition, it is also possible to carry out projects with a greater number of waveguides.
We present a novel Memetic optimization algorithm (MA) in conjunction with the frequency domain Finite Element Method (FEM) to design and to optimize 90° bend waveguide. Transmission efficiencies greater than 98% have been achieved for the desired operating wavelength. by using the proposed strategy, opening, new possibilities for photonic devices design and configurations. In the proposed approach, several geometrical conditions and restrictions were considered and imposed on the bending region in order to reduce the bending footprint. Compared with conventional bending schemes, our solution exhibit good fabrication error tolerances and higher transmission efficiency.
The present work deals with the implementation of algorithms based on the techniques of optimization by ant colony (ACO) and Scatter Search (SS) together with the Finite Element method (MEF) for modeling and optimization of Tapers between a continuous 2D waveguide (CWG) and a periodically segmented 2D waveguide (PSW). The issue to be solved fits into combinatorial optimization problems, where in front of a large number of available subsets, it is possible to select the sets that produce the best coupling efficiencies. The proposed metaheuristics create new possibilities for optimizing and designing a variety of photonic devices for information processing.
Efficient directional couplers composed by parallel dielectric and metallic waveguides have been analyzed in details.
The results show that an efficient power conversion of optical dielectric modes to long range plasmonic ones is
possible in such devices. Low insertion losses in conjunction with short coupling length as well as a broadband
operation can be obtained under certain conditions. This kind of couplers has potential applications for the design of
photonic integrated circuits and for signal routing between dielectric and plasmonic waveguides.
We propose a design for light coupling optimization between an optical fiber and a sub-micrometer waveguide using a subwavelength segmented waveguide taper with subwavelength periodicity. The power coupling and light coupling of the output waveguide are calculated, optimized and compared with other designs and values found in the literature. The optimized tapers has been successfully and efficient designed using evolutionary algorithms based on artificial immune system (AIS), the genetic algorithm (GA) and ant colony optimization (ACO). Power coupling above 75 % have been obtained with the evolutionary algorithms.
A rigorous analysis of two-dimensional segmented waveguide (2D-SWG) crossing using evolutionary algorithms in conjunction with the two-dimensional finite element method (2D-FEM) is presented. The power transmission and crosstalk of the waveguide crossings are calculated, optimized and compared with other designs in the literature. The optimized crossing has been successfully and efficient designed using evolutionary algorithms based on genetic algorithm (GA). Power transmissions above 90 % and crosstalk below 40 dB over a broadband interval of wavelength have been obtained with the evolutionary algorithm.
Broadband nanostructured metallic-dielectric absorbers and reflectors are of great interest in integrated optics and they
have a great potential for applications like polarizers or reflectors for nanoantennas applications operating in optical
frequencies, covering the interval of the O-E-S-C-L-U bands. In this work, novel geometric and optical configurations
are numerically analyzed. The absorber or reflected central frequencies of the analyzed devices can be easily tuned over
the entire communications wavelength band by varying their geometrics and optical parameters Peaks of absorption
larger than 80% were obtained in optical wavelengths by using metals like silver and gold in combination with silica
substrates.
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