Title :
Genetic algorithm optimization for aerospace electromagnetic design and analysis
Author :
Johnson, J.M. ; Rahmat-Samii, Yahya
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
Abstract :
This paper provides a tutorial overview of a new approach to optimization for aerospace electromagnetics known as the Genetic Algorithm. Genetic Algorithm (GA) optimizers are robust, stochastic search methods modeled on the concepts of natural selection and evolution. The relationship between traditional optimization techniques and GA is discussed and the details of GA optimization implementation are explored. The tutorial overview is followed by a number of applications in which GA has proved useful. The applications discussed include the design of lightweight, broad-band microwave absorbers, the reduction of array sidelobes in thinned arrays, the design of shaped beam antenna arrays, and the extraction of natural resonance modes of radar targets from the backscattered response data. Genetic Algorithm Optimization is shown to be suitable for optimizing a broad class of problems of interest to aerospace antennas and related electromagnetics
Keywords :
CAD; aerospace computing; aerospace instrumentation; computer aided analysis; genetic algorithms; space vehicle electronics; stochastic systems; aerospace antennas; aerospace electromagnetic design; analysis; array sidelobes; backscattered response data; broad-band microwave absorbers; genetic algorithm optimization; natural resonance modes; natural selection; radar; radar targets; shaped beam antenna arrays; stochastic search; thinned arrays; Algorithm design and analysis; Design optimization; Electromagnetics; Genetic algorithms; Microwave antenna arrays; Optical arrays; Optimization methods; Robustness; Search methods; Stochastic processes;
Conference_Titel :
Aerospace Applications Conference, 1996. Proceedings., 1996 IEEE
Conference_Location :
Aspen, CO
Print_ISBN :
0-7803-3196-6
DOI :
10.1109/AERO.1996.495874