2008
DOI: 10.1109/tgrs.2008.916635
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Shape Reconstruction of a Perfectly Conducting Scatterer Using Differential Evolution and Particle Swarm Optimization

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Cited by 108 publications
(64 citation statements)
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“…The reconstruction of the shape of PEC cylinders is considered in [59,60]. A cubic-spline-based representation is used for defining the shape of the cylinder.…”
Section: Psomentioning
confidence: 99%
“…The reconstruction of the shape of PEC cylinders is considered in [59,60]. A cubic-spline-based representation is used for defining the shape of the cylinder.…”
Section: Psomentioning
confidence: 99%
“…Although very effective global optimizers are available (e.g., Genetic Algorithms (GAs) [34][35][36], Particle Swarm Optimizer (P SO) [37][38][39][40], Differential Evolution (DE) [41,42], Memetic Algorithms (M A) [43,44], a deterministic approach is used to focus on the "effect" of data on the reconstructions thus avoiding the randomness of stochastic method. The multi-step procedure terminates at s = S opt when the stability conditions, defined in [31] for the T M case, hold true.…”
Section: Mathematical Formulationmentioning
confidence: 99%
“…The electromagnetic model of the OUT and the cost function optimization techniques are then the key points of model-based profile reconstruction. For example, the OUT can be parametrized using splines [3,4] or Fourier series, and the scattered field can be calculated using a Method-of-Moments to solve the 2D integral equations [5]. Thus, the number of unknowns are just the coefficients, , of the parametrized OUT profile.…”
Section: Introductionmentioning
confidence: 99%