Design and Optimization of Multilayered Electromagnetic Shield Using a Real-Coded Genetic Algorithm

Abstract

Abstract-We report optimized design of multilayered electromagnetic shield using real coded genetic algorithm. It is observed that the shielding effectiveness in multilayer design is higher than single layered counterpart of equal thickness. An effort has been made to develop an alternative approach to achieve specific objective of identifying the design characteristics of each layer in the multilayered shielding configuration. The proposed approach incorporates interrelated factors, such as absorption and reflection in the design optimization as per specific shielding requirements. The design problem has been solved using shielding effectiveness theory based on transmission line (TL) modeling and real-coded genetic algorithm (GA) with simulated binary crossover (SBX) and parameter-based mutation. The advantage of real-coded GA lies in efficient solution for electromagnetic interference (EMI) shielding design due to its strength in solving constraint optimization problems of continuous variables with many parameters without any gradient information. Additionally, the role of material parameters, such as permittivity and permeability on reflection characteristics and shielding effectiveness, has also been investigated and optimized using the proposed models and real-coded GA. Theoretical optimization of electromagnetic parameters has been carried out for SE ∼ 40 dB for many industrial/commercial applications and SE ∼ 80 dB for military applications.

Optimization of multilayer electromagnetic shields: A genetic algorithm approach

“…To investigate the electromagnetic wave propagation in multilayer systems, an exact numerical technique within the impedance method, which captures transmission (SE T ), reflection loss (RL) and attenuation, is employed by using of recurrent impedance ratios : where Z i (X i ) – input (output) impedance for j th layer. Reflection loss RL is calculated for the n th layer and clearly depends on reflection losses on previous layers.…”

Design Optimization and Analysis of Afpm Synchronous Machine Incorporating Power Density, Thermal Analysis, and Back-Emf THD

“…According to Equations (1) to (16), parameters often affect each other, varying simultaneously (for example D i , D o , and λ); therefore, the AFPM machine optimization is a non-linear problem. GA is a strong tool that can solve various complex and non-linear optimization problems [25,26]. GA may thus provide many answers for problem optimization due to its parallel search capability.…”

Reliability-based design optimization scheme for designing electromagnetic shielding structures

“…Such schemes include non-linear optimization technique to achieve the predefined shielding effectiveness (SE) for a single-layer material within the given constraints of material parameters, [14] genetic algorithms (GAs) for synthesizing a planar multi-layer structure to be used as a filter, [15] GA for multi-layer structure of ICPbased composites, [16] winning particle optimization algorithm for designing multi-layer nanostructured composite, [17] and real-coded GA for designing multi-layered EM shield to achieve specific shielding requirements. [18,19] Although using these approaches, theoretically the shielding structure with desired properties can be obtained, however, the experimental realization and validation vastly differ from the predicted results because the underlying problem formulation involves deterministic optimization task. The optimal solution obtained under deterministic formulation might be the best choice, if no uncertainties in the design variables and parameters are expected.…”

“…[33] Step 6: Perform mutation operation using polynomial mutation operator to perturb the offspring in their neighborhood. Readers may refer [19] for SBX operator and mutation operator with example for the crossover and mutation of real variables, respectively.…”