eprintid: 410 rev_number: 7 eprint_status: archive userid: 5 dir: disk0/00/00/04/10 datestamp: 2004-09-01 lastmod: 2013-07-04 13:22:07 status_changed: 2013-07-04 13:22:07 type: techreport metadata_visibility: show item_issues_count: 0 creators_name: Bort, Emmanuele creators_name: Donelli, Massimo creators_name: Martini, Anna creators_name: Massa, Andrea title: An Adaptive Weighting Strategy for Microwave Imaging Problems ispublished: inpress subjects: TU full_text_status: public keywords: Microwave imgaging, inverse scattering, adaptive weighting, genetic algorithms abstract: In the framework of microwave imaging applications, an innovative strategy aimed at addressing the multi-objective inverse scattering problem is proposed. Starting from the spatial-domain integral formulation, the original multi-objective problem is recast into a single-objective one by defining a suitable cost function as a linear combination of the data and state terms according to variable weighting parameters. By iteratively tuning these paramenters, the optimization procedure is forced to solve an 'almost' multi-objective problem avoiding the use of ad-hoc multiple-objective optimization methods and satisfying different objectives in a balanced way. Selected numerical results indicate that the use of such a strategy yields to accurate reconstructions, with noise-corrupted data as well, by improving the performances of the adopted optimization procedure. date: 2004-08 date_type: published institution: University of Trento department: informaticat refereed: FALSE referencetext: 1. S. Caorsi, A. Massa, and M. Pastorino, "A computational technique based on a real-coded genetic algorithm for microwave imaging purposes", IEEE Trans. Geosci. Remote Sensing, Special Issue on &ldquo,Computational Wave Issues in Remote Sensing, Imaging and Target Identification, Propagation, and Inverse Scattering,&rdquo,, vol. 38, no. 4, pp.1697 -1708 2000 2. D. S. Weile and E. Michielssen, Y. Rahmat-Samii and E. Michielssen, "Genetic algorithms: Theory and advanced techniques", Electromagnetic Optimization by Genetic Algorithms, pp.48 1999 :Wiley 3. D. S. Weile, E. Michielssen, and D. E. Goldberg, "Genetic algorithm design of Pareto optimal broadband microwave absorbers", IEEE Trans. Electromagn. Compat., vol. 38, no. 3, pp.518 -525 1996 4. W. Stadler, Multicriteria Optimization in Engineering and in the Sciences, 1988 :Plenum Press 5. H. Harada, D. J. N. Wall, T. Takenaka, and M. Tanaka, "Conjugate gradient method applied to inverse scattering problem", IEEE Trans. Antennas Propag., vol. 43, no. 8, pp.784 -792 1995 6. A. Massa, "Genetic algorithm (GA) based techniques for 2D microwave inverse scattering", Recent Research Developments in Microwave Theory and Techniques, pp.193 -218 2002 :Transworld Research Network Press 7. R. E. Kleinman and P. M. van den Berg, "A modified gradient method for two-dimensional problems in tomography", J. Computat. Appl. Math., vol. 42, pp.17 -35 1992 8. Z. Q. Meng, T. Takenaka, and T. Tanaka, "Image reconstruction of two-dimensional impenetrable objects using genetic algorithm", J. Electromagn. Waves Applicat., vol. 13, pp.95 -118 1999 9. L. Garnero, A. Franchois, J.-P. Hugonin, Ch. Pichot, and N. Joachimowicz, "Microwave imaging-complex permittivity reconstruction by simulated annealing", IEEE Trans. Microwave Theory Tech., vol. 39, no. 11, pp.1801 -1807 1991 10. J. T. Richardson, M. R. Palmer, G. Liepins, and M. Hilliard, J. D. Shaffer, "Some guidelines for genetic algorithms with penalty functions", Proc. 3rd Int. Conf. Genetic Algorithms, 1989 :Morgan Kaufmann 11. A. Franchois and Ch. Pichot, "Microwave imaging-complex permittivity reconstruction with a Levenberg-Marquardt method", IEEE Trans. Antennas Propag., vol. 45, no. 2, pp.203 -215 1997 12. A. Abubakar, P. M. van den Berg, and J. Mallorqui, "Imaging of biomedical data using a multiplicative regularized contrast source inversion method", IEEE Trans. Microwave Theory Tech., vol. 50, no. 7, pp.1761 -1771 2002 13. P. M. van den Berg and A. Abubakar, "Contrast source inversion method: State of art", Progress Electromagn. Res., vol. 34, pp.189 -218 2001 14. J. M. Johnson and Y. Ramat-Samii, "Genetic algorithms in engineering electromagnetics", IEEE Antennas Propagat. Mag., vol. 39, pp.7 -25 1997 15. D. S. Weile and E. Michielssen, "Genetic algorithm optimization applied to electromagnetics: A review", IEEE Trans. Antennas Propag., vol. 45, no. 3, pp.343 -353 1997 citation: Bort, Emmanuele and Donelli, Massimo and Martini, Anna and Massa, Andrea (2004) An Adaptive Weighting Strategy for Microwave Imaging Problems. [Technical Report] (In Press) document_url: http://www.eledia.org/students-reports/410/1/DIT-04-064.pdf