Electromagnetic inverse scattering of multiple two-dimensional perfectly conducting objects by the differential evolution strategy
By Anyong Qing. 2003
178 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Biomedical Engineering, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/cd50e9de5b456f7c385326fa487e7c5392c8ce92
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atomic and Molecular Physics, and Optics
- Matteo Pastorino
- Andrea Massa
- Paolo Rocca
- Shiwen Yang
- Yeow-Beng Gan
- Giacomo Oliveri
- Davide Franceschini
- Massimo Donelli
In Biomedical Engineering
- Andrea Massa
- Paolo Rocca
- Giacomo Oliveri
- Massimo Donelli
- Matteo Pastorino
- Shiwen Yang
- Davide Franceschini
- Manuel Benedetti
In Mathematical Physics
- Andrea Massa
- Paolo Rocca
- Matteo Pastorino
- Massimo Donelli
- Giacomo Oliveri
- Shiwen Yang
- Yeow-Beng Gan
- Davide Franceschini
Citations in the corpus
- Sideband suppression in time-modulated linear arrays by the differential evolution algorithm (2002, methodology): “However, it is more powerful than GAs for real valued problems [ 4 ].”
- Synthesis of Unequally Spaced Antenna Arrays by Using Differential Evolution (2010, unknown): “It has been successfully applied to array synthesis problems [2], [15], [16], electromagnetic inverse problems [17]–[22] and many other scientific and engineering problems [14].”
- Stochastic Optimization Methods Applied to Microwave Imaging: A Review (2007, methodology): “reported in [50], the DE algorithm outperforms the GA due to the smaller population that can be considered (40 elements for the DE algorithm versus 256 for the GA).”
- Differential Evolution as Applied to Electromagnetics (2011, methodology): “approach was compa red in [ 34 ] with the gene tic algo”
- Pareto Optimal Microwave Filter Design Using Multiobjective Differential Evolution (2010, background): “gorithm has been applied to microwave structures [42]–[44], antenna design [45]–[49], signal optimization [50] and microwave imaging applications [51]–[54].”
- Antenna‐array pattern nulling using a differential evolution algorithm (2004, background): “The complete iteration procedure shown in Figure 1 indicates that DE is much simpler than GAs, and its fast convergence and strong search ability will be justified in the following linear array pattern nulling synthesis examples.”
- Evolutionary optimization as applied to inverse scattering problems (2009, methodology): “Later, the DE was used to solve benchmark problems [130] and its performances were compared to the solutions from the RGA in [127].”