@article{
 title = {Differential Evolution in Waveform Design for Wireless Power Transfer},
 type = {article},
 year = {2020},
 keywords = {channel state information,evolutionary algorithms,waveform design,wireless power transfer},
 pages = {96-113},
 volume = {1},
 websites = {http://dx.doi.org/10.3390/telecom1020008},
 month = {8},
 publisher = {MDPI AG},
 id = {629c7fa7-57f3-3838-a160-59f2e87511b2},
 created = {2020-08-31T20:28:48.394Z},
 file_attached = {false},
 profile_id = {c69aa657-d754-373c-91b7-64154b7d5d91},
 last_modified = {2023-02-11T16:55:13.246Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Doanis2020a},
 source_type = {article},
 private_publication = {false},
 abstract = {The technique of transmitting multi-tone signals in a radiative Wireless Power Transfer (WPT) system can significantly increase its end-to-end power efficiency. The optimization problem in this system is to tune the transmission according to the receiver rectenna’s nonlinear behavior and the Channel State Information (CSI). This is a non-convex problem that has been previously addressed by Sequential Convex Programming (SCP) algorithms. Nonetheless, SCP algorithms do not always attain globally optimal solutions. To this end, in this paper, we evaluate a set of Evolutionary Algorithms (EAs) with several characteristics. The performance of the optimized multi-tone transmission signals in a WPT system is assessed by means of numerical simulations, utilizing a simplified Single Input Single Output (SISO) model. From the model evaluation, we can deduce that EAs can be successfully applied to the waveform design optimization problem. Moreover, from the presented results, we can derive that EAs can obtain the optimal solutions in the tested cases.},
 bibtype = {article},
 author = {Doanis, Pavlos and Boursianis, Achilles D and Huillery, Julien and Bréard, Arnaud and Duroc, Yvan and Goudos, Sotirios K},
 doi = {10.3390/telecom1020008},
 journal = {Telecom},
 number = {2}
}

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