@inproceedings{
 title = {Application of Opposition-Based Learning concepts for arbitrary patch antenna design for wireless communications},
 type = {inproceedings},
 year = {2017},
 keywords = {Biogeography based optimization,Opposition-based learning,Patch antenna},
 pages = {171-174},
 id = {e62c2754-bbaa-3bd1-b240-f9066f9d3270},
 created = {2020-02-29T16:57:42.320Z},
 file_attached = {false},
 profile_id = {c69aa657-d754-373c-91b7-64154b7d5d91},
 last_modified = {2023-02-11T18:54:01.744Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Goudos2017c},
 private_publication = {false},
 abstract = {We present an arbitrary-shaped patch antenna design procedure. The design technique is based on a variant of Biogeography Based Optimization (BBO) algorithm. In this paper, we apply Opposition-Based Learning (OBL) concepts for antenna design. More specifically, we use a new Modified Biogeography Based Optimization (BBO) algorithm enhanced with OBL techniques. The preliminary results of the proposed method indicate the advantages and applicability of our approach.},
 bibtype = {inproceedings},
 author = {Goudos, Sotirios K. and Siakavara, Katherine and Kalialakis, Christos},
 doi = {10.1109/IWAT.2017.7915350},
 booktitle = {2017 International Workshop on Antenna Technology: Small Antennas, Innovative Structures, and Applications, iWAT 2017}
}