Optimization of the difference patterns for monopulse antennas by a hybrid real/integer-coded differential evolution method
By Salvatore Caorsi, Andrea Massa, Matteo Pastorino, Andrea Randazzo. IEEE Transactions on Antennas and Propagation, 2005
152 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/07f419910b9706262ba8a9dc46f66559431ebbc4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Paolo Rocca
- Andrea Massa
- Robert J. Mailloux
- Giacomo Oliveri
- Luca Manica
- Manuel Benedetti
- Renzo Azaro
- Benjamin Fuchs
In Electrical and Electronic Engineering
- Paolo Rocca
- Andrea Massa
- Giacomo Oliveri
- Robert J. Mailloux
- Luca Manica
- Manuel Benedetti
- Z. Nie
- Qing Huo Liu
Citations in the corpus
- A Hybrid Approach to the Synthesis of Subarrayed Monopulse Linear Arrays (2009, methodology): “Similar conclusions hold true also for the DE approach [4], where the number of iterations has been set to .”
- 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].”
- A Fast Graph-Searching Algorithm Enabling the Efficient Synthesis of Sub-Arrayed Planar Monopulse Antennas (2009, methodology): “To deal with such an optimal compromise problem, global optimization approaches [6], [7], [8] as well as hybrid techniques have been considered [9], [10].”
- An Innovative Approach Based on a Tree-Searching Algorithm for the Optimal Matching of Independently Optimum Sum and Difference Excitations (2008, background): “Grouping operation yields to a subarray configuration mathematically described in terms of the grouping vector , being the subarray index of the th element of the array [ 7 ].”
- Unconventional Phased Array Architectures and Design Methodologies—A Review (2016, methodology): “In this framework, several optimization-based approaches have been proposed using genetic algorithms (GA) [31], differential evolution (DE) [32]–[34], and hybrid strategies exploiting the problem convexity with respect to a subset of the design parameters [35].”