@article{
 title = {Antenna Design Using Binary Differential Evolution: Application to discrete-valued design problems.},
 type = {article},
 year = {2017},
 pages = {74-93},
 volume = {59},
 id = {22407a46-785b-339c-8787-90359847f71b},
 created = {2020-02-29T16:57:41.757Z},
 file_attached = {false},
 profile_id = {c69aa657-d754-373c-91b7-64154b7d5d91},
 last_modified = {2023-02-11T18:54:02.475Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Goudos2017d},
 private_publication = {false},
 abstract = {Several antenna design problems are discrete valued. Particle swarm optimization (PSO) and differential evolution (DE) are popular evolutionary algorithms that have been applied to a number of design problems in electromagnetics. However, both PSO and DE are best suited for continuous search spaces. Therefore, to apply these to binary-coded combinatorial optimization problems, binary versions of the aforementioned algorithms must be used. In this article, we introduce a design technique based on novel binary DE (NBDE). The main benefit of NBDE is reserving the DE updating strategy to binary space.},
 bibtype = {article},
 author = {Goudos, Sotirios},
 doi = {10.1109/MAP.2016.2630041},
 journal = {IEEE Antennas and Propagation Magazine},
 number = {1}
}

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