Phased Antenna Array Design using Shuffled Frog-Leaping Algorithm. Boursianis, A., Patakakis, K., Goudos, S., K., Salucci, M., & Massa, A. In 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings, pages 1845-1846, 2018. doi abstract bibtex In this paper, we present a new meta-heuristic approach (memetic algorithm) to address multi-objective problems in planar phased arrays. Memetic algorithms are hybrid algorithms that combine the benefits of a global search evolutionary algorithm with a local search method. The Shuffled Frog-Leaping Algorithm (SFLA) consists of a virtual population of frogs partitioned into different memeplexes. It performs a memetic evolution within the memeplex (local search) and a shuffling mix process between memeplexes (global search) to deliver optimum solutions in optimization problems. Derived results show improved characteristics of the antenna array.
@inproceedings{
title = {Phased Antenna Array Design using Shuffled Frog-Leaping Algorithm},
type = {inproceedings},
year = {2018},
pages = {1845-1846},
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abstract = {In this paper, we present a new meta-heuristic approach (memetic algorithm) to address multi-objective problems in planar phased arrays. Memetic algorithms are hybrid algorithms that combine the benefits of a global search evolutionary algorithm with a local search method. The Shuffled Frog-Leaping Algorithm (SFLA) consists of a virtual population of frogs partitioned into different memeplexes. It performs a memetic evolution within the memeplex (local search) and a shuffling mix process between memeplexes (global search) to deliver optimum solutions in optimization problems. Derived results show improved characteristics of the antenna array.},
bibtype = {inproceedings},
author = {Boursianis, Achilles and Patakakis, Kostas and Goudos, Sotirios K. and Salucci, Marco and Massa, Andrea},
doi = {10.1109/APUSNCURSINRSM.2018.8609068},
booktitle = {2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings}
}
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