Inversion of Wave Impedance Using Improved Simulated Annealing Genetic Algorithm

Author

Wang, Chao ; Li, Zhibin

Author_Institution

Sch. of Software Technol., Dalian Jiaotong Univ., Dalian, China

Volume

2

fYear

2010

fDate

4-6 June 2010

Firstpage

121

Lastpage

124

Abstract

In this paper, a novel improved simulated annealing genetic algorithm is proposed based on the analysis of the properties of traditional simulated annealing (SA) and simulated annealing genetic algorithm (SAGA). The parameter of population entropy is used in SAGA, which can explore the solution space efficiently and keep the population diversity. The improved algorithm is further applied to impedance inversion. Many examples and experimental analysis verify that the improved algorithm is effective and practical.

Keywords

genetic algorithms; geophysical techniques; simulated annealing; impedance inversion; improved simulated annealing genetic algorithm; nonlinear optimization; population entropy; simulated annealing; wave impedance; Algorithm design and analysis; Analytical models; Computational modeling; Genetic algorithms; Impedance; Inverse problems; Partial differential equations; Simulated annealing; Space exploration; Space technology; Genetic Algorithms; Impednace Inversion; Nonlinear Optimization; Simulated Annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing (ICIC), 2010 Third International Conference on

Conference_Location

Wuxi

Print_ISBN

978-1-4244-7081-5

Electronic_ISBN

978-1-4244-7082-2

Type

conf

DOI

10.1109/ICIC.2010.124

Filename

5513893