Title :
Bio-inspired optimization techniques for wireless energy transfer
Author :
Pirisi, A. ; Mussetta, M. ; Gruosso, G. ; Zich, R.E.
Author_Institution :
Dipt. di Energia, Politec. di Milano, Milano, Italy
Abstract :
This paper provides a novel approach to the design of wireless energy transfer devices, by means of an hybrid evolutionary optimization method, the recently developed Genetical Swarm Optimization. This approach is well suited in order to increase the transfer efficiency and the robustness of the coupling, with the aim of minimizing the average power loss.
Keywords :
genetic algorithms; inductive power transmission; particle swarm optimisation; prosthetic power supplies; average power loss; bio-inspired optimization techniques; genetical swarm optimization; hybrid evolutionary optimization method; transfer efficiency; wireless energy transfer devices; Coils; Couplings; Gallium; Optimization; Particle swarm optimization; Power supplies; Wireless communication;
Conference_Titel :
Electromagnetics in Advanced Applications (ICEAA), 2010 International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-7366-3
DOI :
10.1109/ICEAA.2010.5651102
