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.
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.