Genetic algorithm (GA)-enhanced almost difference set (ADS)-based approach for array thinning

By Giacomo Oliveri, Andrea Massa. 2011

100 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ebbcae2257c62fe295e142a81dd50cc98bfc2fb1

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

1. Robert J. Mailloux
2. Paolo Rocca
3. Andrea Massa
4. Giacomo Oliveri
5. Benjamin Fuchs
6. Luca Manica
7. Z. Nie
8. Qing Huo Liu

In Electrical and Electronic Engineering

1. Paolo Rocca
2. Robert J. Mailloux
3. Giacomo Oliveri
4. Andrea Massa
5. Z. Nie
6. Qing Huo Liu

Citations in the corpus

• Unconventional Phased Array Architectures and Design Methodologies—A Review (2016, methodology): “The use of ADSs has also been exploited to provide a smart ini- tialization for the optimization-based design of thinned arrays through GAs [58], showing superior SLL minimization with respect to arrays obtained by standard ADS-based solutions or standard GA approaches.”