reviewTop 1% cited
Genetic algorithm optimization applied to electromagnetics: a review
IEEE Transactions on Antennas and Propagation · 1997 · Vol. 45(3) · pp. 343–353
Daniel S. Weile✉(University of Illinois Urbana-Champaign)Eric Michielssen(University of Illinois Urbana-Champaign)
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.
Microwave Engineering and WaveguidesAntenna Design and OptimizationRadio Wave Propagation StudiesElectromagneticsGenetic algorithmComputational electromagneticsField (mathematics)Computer scienceElectromagnetic fieldAlgorithmMathematicsElectronic engineeringMachine learning
Citations
859
FWCI
30.13
field-weighted impact
References
80
Percentile
100%
vs. same field & year
Citations per year
Cited by
Particle Swarm Optimization Versus Genetic Algorithms for Phased Array Synthesis
IEEE Transactions on Antennas and Propagation · 2004 · 935 citations
References
Design of lightweight, broad-band microwave absorbers using genetic algorithms
IEEE Transactions on Microwave Theory and Techniques · 1993 · 594 citations
Thinned arrays using genetic algorithms
IEEE Transactions on Antennas and Propagation · 1994 · 1,092 citations
Genetic algorithms in search, optimization, and machine learning
Choice Reviews Online · 1989 · 49,283 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
