Title :
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
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;
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
DOI :
10.1109/ICIC.2010.124
