Inversion of Wave Impedance using Improved Simulated Annealing Genetic Algorithm

摘要：

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.

关键词： Impednace Inversion Genetic Algorithms Simulated Annealing Nonlinear Optimization

作者: Chao Wang Zhibin Li

作者单位: School of Software Technology Dalian Jiaotong University Dalian, China Track Jiaotong Technology College Dalian Jiaotong University Dalian, China

会议类型: 国际会议

会议名称: Third International Conference on Information and Computing(第三届信息与计算科学国际会议 ICIC 2010)

会议地点: 无锡

会议语种:英文

页码: 121-124

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）