Troubleshooting in geoelectrical prospecting using real-coded genetic algorithm with chromosomal extrapolation.

Autor:	Calixto, Wesley Pacheco, Paulo Coimbra, A., Mota, Jesus Carlos da, Wu, Marcel, Silva, Wander G., Alvarenga, Bernardo, Brito, Leonardo da Cunha, Alves, Aylton Jose, Domingues, Elder Geraldo, Neto, Daywes Pinheiro
Předmět:	GENETIC algorithms ELECTRIC prospecting EXTRAPOLATION MATHEMATICAL models MATHEMATICAL optimization ELECTRIC networks
Zdroj:	International Journal of Numerical Modelling; Jan2015, Vol. 28 Issue 1, p78-95, 18p
Abstrakt:	SUMMARY This work presents a genetic operator developed from mathematical methods of curve extrapolation applied in solving problems in geoelectrical prospection. This operator will assist the production of fitter individuals in the population of a genetic algorithm in which inherent patterns of the best individuals of each generation are recognized. The proposed operator in conjunction with a real-coded genetic algorithm is compared to five alternative optimization techniques known and used in the application to problems in geoelectrical prospection. Copyright © 2014 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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