Title :
Genetic algorithm optimization applied to electromagnetics: a review
Author :
Weile, Daniel S. ; Michielssen, Eric
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
fDate :
3/1/1997 12:00:00 AM
Abstract :
Genetic algorithms are on the rise in electromagnetics as design tools and problem solvers because of their versatility and ability to optimize in complex multimodal search spaces. This paper describes the basic genetic algorithm and recounts its history in the electromagnetics literature. Also, the application of advanced genetic operators to the field of electromagnetics is described, and design results are presented for a number of different applications
Keywords :
electromagnetism; genetic algorithms; reviews; complex multimodal search spaces; design results; design tools; electromagnetics; genetic algorithm optimization; genetic operators; problem solvers; Algorithm design and analysis; Design optimization; Electromagnetic devices; Electromagnetic fields; Genetic algorithms; History; Maxwell equations; Nonlinear equations; Optimization methods; Stochastic processes;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
