Title :
Genetic algorithm design of Pareto optimal broadband microwave absorbers
Author :
Weile, D.S. ; Michielssen, E. ; Goldberg, D.E.
Author_Institution :
Electromagn. Commun. Lab., Illinois Univ., Urbana, IL, USA
fDate :
8/1/1996 12:00:00 AM
Abstract :
The concept of Pareto optimality is applied to the study of choice tradeoffs between reflectivity and thickness in the design of multilayer microwave absorbers. Absorbers composed of a given number of layers of absorbing materials selected from a predefined database of available materials are considered. Three types of Pareto genetic algorithms for absorber synthesis are introduced and compared to each other, as well as to methods operating with the weighted Tchebycheff method for Pareto optimization. The Pareto genetic algorithms are applied to construct Pareto fronts for microwave absorbers with five layers of materials selected from a representative database of available materials in the 0.2-2 GHz, 2-8 GHz, and 9-11 GHz bands
Keywords :
Chebyshev approximation; coatings; electromagnetic wave absorption; electromagnetic wave reflection; genetic algorithms; 0.2 to 11 GHz; Pareto fronts; Pareto optimal broadband microwave absorbers; Pareto optimization; absorber synthesis; absorbing materials; anechoic chambers; genetic algorithm design; multilayer microwave absorbers; radar cross sections; reflectivity; thickness; weighted Tchebycheff method; Algorithm design and analysis; Coatings; Databases; Frequency; Genetic algorithms; Microwave devices; Nonhomogeneous media; Pareto optimization; Reflection; Reflectivity;
Journal_Title :
Electromagnetic Compatibility, IEEE Transactions on