Swarm Optimization Methods in Microwave Imaging
Author(s) -
Andrea Randazzo
Publication year - 2012
Publication title -
international journal of microwave science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.125
H-Index - 11
eISSN - 1687-5834
pISSN - 1687-5826
DOI - 10.1155/2012/491713
Subject(s) - swarm intelligence , swarm behaviour , microwave imaging , microwave , electromagnetics , computer science , ranging , antenna (radio) , component (thermodynamics) , class (philosophy) , artificial intelligence , algorithm , engineering , electronic engineering , particle swarm optimization , telecommunications , physics , thermodynamics
Swarm intelligence denotes a class of new stochastic algorithms inspired by the collective social behavior of natural entities (e.g., birds, ants, etc.). Such approaches have been proven to be quite effective in several applicative fields, ranging from intelligent routing to image processing. In the last years, they have also been successfully applied in electromagnetics, especially for antenna synthesis, component design, and microwave imaging. In this paper, the application of swarm optimization methods to microwave imaging is discussed, and some recent imaging approaches based on such methods are critically reviewed
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