Designing a multilayer microwave heating device using a multiobjective genetic Algorithm

2009 IEEE Congress on Evolutionary Computation, CEC 2009

Volumn , Issue , 2009, Pages 911-917

  Santos, J́esus J S ^a   Oliveira, Diogo B ^a   Wanner, Elizabeth F ^b   Carrano, Eduardo G ^c   Takahashi, Ricardo H C ^a   Silva, Elson J ^a   Neto, Oriane M ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b FEDERAL UNIVERSITY OF OURO PRETO   (Brazil)

^c CENTRO FEDERAL DE EDUCAÇÃO TECNOLÓGICA DE MINAS GERAIS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COSTS; EVOLUTIONARY APPROACH; MICROWAVE POWER; MINIMUM ENERGY; MULTI OBJECTIVE; MULTI-OBJECTIVE GENETIC ALGORITHM; MULTILAYER DIELECTRICS; NONDOMINATED SOLUTIONS;

HEATING; HEATING EQUIPMENT; MICROWAVE HEATING; MULTILAYERS; MULTIOBJECTIVE OPTIMIZATION;

MICROWAVES;

EID: 70449835524     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2009.4983042     Document Type: Conference Paper

References (17)

1. J. Osepchuk, "Microwave power applications," IEEE Transactions on Microwave Theory and Techniques, vol.50, no.3, pp. 975-985, march 2002.
2. D. B. Oliveira, E. J. Silva, and A. C. Lisboa, "Efficient Microwave Power Density Distribution in Multilayer Dielectrics," 13th International Conference on Electromagnetic Field Computation, 2008.
3. K. A. Michalski and H. Jabs, "One-dimensional analysis of microwave batch sterilization of water with continuous impedance matching," 13th International Conference on Microwaves, Radar and Wireless Communications, vol.1, pp. 207-210, 2000.
4. R. W. Lewis, The Finite Element Method in Heat Transfer Analysis. Chichester: John Wiley and Sons, 1996.
5. A. R. V. Hippel, Dieletric Materials and Applications. MIT Press, 1954.
6. E. Zitzler, M. Laumanns, and L. Thiele, "SPEA 2: Improving the Strenght Pareto Evolutionary Algorithms," In K. Giannakoglou et al., editor, EUROGEN 2001. Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, pp. 95-100, 2002.
7. J. H. Holland, "Concerning efficient adaptative systems," In M.C. Yovits, G.T. Jacobi, and G. D. Goldstein, editors, Self-Organizing Systems, pp. 215-230, 1962.
8. "Outline for a logical theory of adaptive systems," Journal of the Association for Computing Machinery, vol.9, pp. 297-314, 1962.
9. D. Goldberg, Genetic Algorithms in Search, Optimization and Learning. Addison-Wesley, 1989.
10. J. H. Holland, Adaptation in Natural and Artificial Systems. University of Michigan Press, 1986.
11. M. L. Lucian and M. Neamtu, "Geometric modeling and computing: Seattle 2003," in Geometric Modeling and Computing: Seattle 2003, ser. Modern Methods in Mathematics. Brentwood, TN: Nashboro Press, 2004.
12. C. A. C. Coello, "An updated survey of ga-based multiobjective optimization techniques," ACM Computing Surveys, vol.32, no.2, 2000.
13. E. Zitzler and L. Thiele, "Multiobjective evolutionary algorithms: A comparative case study and the strenght pareto approach," IEEE Transactions on Evolutionary Computation, vol.3, no.4, pp. 257- 271, 1999.
14. V. L. S.Silva, E. F. Wanner, S. A. A. G. Cerqueira, and R. H. C. Takahashi, "A new performance metric for multiobjective optimization: The integrate sphere counting," in Proceedings of the IEEE Congress on Evolutionary Computation. Singapore, Sg: IEEE Press, 2007.
15. Efficient Microwave Power Density Distribution in Multilayer Dielectrics, vol.Proc. of the 13 th CEFC, 2008.
16. F. Campelo, F. G. Guimaraes, H. Igarashi, and J. Ramirez, "A clonal selection algorithm for optimization in electromagnetic," IEEE Transactions on Magnetics, vol.41, no.5, may 2005.
17. M. Ehrgott, Multicriteria Optimization. Spring-Verlag, 2000.