Swarm intelligence denotes a class of new stochastic algorithms inspired by the collective social behavior of natural entities (e.g.,\r\nbirds, ants, etc.). Such approaches have been proven to be quite effective in several applicative fields, ranging from intelligent\r\nrouting to image processing. In the last years, they have also been successfully applied in electromagnetics, especially for antenna\r\nsynthesis, component design, and microwave imaging. In this paper, the application of swarmoptimization methods to microwave\r\nimaging is discussed, and some recent imaging approaches based on such methods are critically reviewed.
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