Abstract:
In order to simulate the interaction of tissues and electromagnetic fields, the dielectric properties of tissues are usually described by the multi-pole Debye model which...Show MoreNotes: Please be advised that the paper you have accessed is a draft of the final paper that was presented at the conference. This draft will be replaced with the final paper shortly.
Metadata
Abstract:
In order to simulate the interaction of tissues and electromagnetic fields, the dielectric properties of tissues are usually described by the multi-pole Debye model which is converted to the time domain easily instead of Cole-Cole model. This paper presents a comparative study of several algorithms used in optimizing the multi-pole Debye model of tissues dielectric properties. The algorithms are: graphical method, genetic algorithm (GA), simulated annealing algorithm (SA) and hybrid genetic algorithm (hybrid-GA). The accuracy and cost time of these algorithms in optimizing the multi-pole Debye model based on the data of literature and actual measurement are investigated. The results show the fit effects of these algorithms on frequency band and number of Debye poles for the optimizing model.
Notes: Please be advised that the paper you have accessed is a draft of the final paper that was presented at the conference. This draft will be replaced with the final paper shortly.
Date of Conference: 16-18 December 2013
Date Added to IEEE Xplore: 24 February 2014
ISBN Information:
Contents 