Desenvolvimento de Operador Matemático para Algoritmos de Otimização Heurísticos Aplicado a Problema de Geoprospecção
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G. E. P. Box; J. S. Hunter. Multifactor experimental designs for exploring response surfaces. Annals of Mathematical Statistics, 28(1):195-241. 1957.
J. H. Holland. Adaptation in Natural and Artificial Systems. The University of Michigan Press, Ann Arbor, MI. 1975.
Z. Michalewicz. Genetic Algorithms + Data Structures = Evolution Programs. Springer, Charlotte, North Carolina, USA. 1992.
F. Herrera; M. Lozano. Adaptive genetic operators based on coevolution with fuzzy behaviors. IEEE Transactions on Evolutionary Computation, v. 5, no.2, 149-165. 2001.
W. P. Calixto; J. C. da Mota; B. P. Alvarenga. Methodology for the Reduction of Parameters in the Inverse Transformation of Schwarz-Christoffel Applied to Electromagnetic Devices with Axial Geometry. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, doi: 10.1002/jnm.804, 2011.
L.M. de Campos; J.A. Gamez; S. Moral. Partial abductive inference in Bayesian belief networks - an evolutionary computation approach by using problem-specific genetic operators. IEEE Transactions on Evolutionary Computation, v.6, no. 2, 105-131. 2002.
S. Y. Yuen; C. K. Chow. A Genetic Algorithm That Adaptively Mutates and Never Revisits. IEEE Transactions on Evolutionary Computation, v. 13, no.2, 454-472. 2009.
W. P. Calixto; E. G. Marra; L. C. Brito; B. P. Alvarenga. A New Methodology to Calculate Carter Factor Using Genetic Algorithms. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, vol.24 no.4, 387-399, 2010.
F. Herrera; M. Lozano; J. L. Verdegay. Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis. Artificial Intelligence Review. vol.12, 265-319. 1998.
M. Serrano. A practical Scheme compiler: User manual for version 3.7a. Free Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, USA. 2011.
C. De Boor. A practical guide to splines. Springer-Verlag, New York. 2001.
L. L. Schumaker. Spline Functions: Basic Theory. Cambridge Mathematical Library. 2007.
F. N. Fritsch; R. E. Carlson. Monotone Piecewise Cubic Interpolation. SIAM J. Numerical Analysis, vol.17, 238-246. 1980.
D. Kahaner; C. Moler; S. Nash. Numerical Methods and Software. Prentice Hall. 1988.
R. E. Collins. Mathematical Methods for Physicists and Engineers. Dover Publications, New York, 2 ed. 1999.
M. T. Vakil-Baghmisheh; M. Salim. A modified fast marriage in honey bee optimization algorithm. IEEE Telecommunications (IST), 2010 5th International Symposium, 950-955. 2010.
T. Back. Self-adaptation in Genetic Algorithms. Proceedings of the First European Conference on Artificial Life, 263-271. 1992.
H. Park; J. H. Kim. Potential and dynamics-based Particle Swarm Optimization. IEEE World Congress on Computational Intelligence, Evolutionary Computation, 2008. CEC 2008, 2354 -2359. 2008.
J.J. Liang; A.K. Qin; P.N. Suganthan; S. Baskar. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Transactions on Evolutionary Computation, 281-295. 2006.
Q. Anyong. Differential Evolution: Fundamentals and Applications in Electrical Engineering. John Wiley & Sons, Singapore, 2009.
F. A. Wenner. Method of Measuring Earth Resistivity. Bulletin of the National Bureau of Standards, 1916.
W. P. Calixto; L. Martins Neto; M. Wu; K. Yamanaka. Parameters Estimation of a Horizontal Multilayer Soil Using Genetic Algorithm. IEEE Transactions on Power Delivery, vol.25 no.3, 1250-1257, 2010.
F. Dawalibi; C. J. Blattner. Earth Resistivity Measurement Interpretation Techniques. IEEE Transactions on Power Apparatus and Systems, vol.PAS-103 no.2, 374-382, 1984.
E. D. Sunde. Earth conduction effects in transmission systems. MacMilan, New York, 1968.
J. L. del Alamo. A Comparison among Eight Different Techniques to Achieve an Optimum Estimation of Electrical Grounding Parameters in Two-Layered Earth. IEEE Transactions on Power Delivery, vol.8 no.4, 1890-1899, 1993.
J. L. del Alamo. A Second Order Gradient Technique for an Improved Estimation of Soil Parameters in a Two-Layer Earth. IEEE Transactions on Power Delivery, vol.6 no.3, 1166-1170, 1991.
P. J. Lagacé; J. Fortin; E. D. Crainic. Interpretation of Resistivity Sounding Measurements in N-Layer Soil using Electrostatic Images. IEEE Transactions on Power Delivery, vol.11 no.3, 1349-1354, 1996.
I. F. Gonos; I. A. Stathopulos. Estimation of Multilayer Soil Parameters Using Genetic Algorithms. IEEE Transactions on Power Delivery, vol.20 no.1, 100-106, 2005.
DOI: https://doi.org/10.5540/tema.2014.015.02.0177
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