@inproceedings{
 title = {Phased Antenna Array Design using Shuffled Frog-Leaping Algorithm},
 type = {inproceedings},
 year = {2018},
 pages = {1845-1846},
 id = {d2164b4c-b7e2-3082-b683-0542086e8183},
 created = {2020-02-29T16:57:43.851Z},
 file_attached = {false},
 profile_id = {c69aa657-d754-373c-91b7-64154b7d5d91},
 last_modified = {2023-02-11T18:54:01.571Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Boursianis2018},
 private_publication = {false},
 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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