节点文献
退火遗传算法在剩余静校正中的应用
THE APPLICATION OF ANNEALING GENETIC ALGORITHMS TO RESIDUAL STATICS CORRECTION
【摘要】 剩余静校正问题实质上是非线性优化问题,因此可用非线性全局寻优的方法来求解。笔者综合利用模拟退火和遗传算法的优势,提出了一种全局最优化的剩余静校正方法。对理论模型和实际地震资料的处理结果表明此方法适应能力强,能有效地解决剩余静校正问题。
【Abstract】 The essence of the residual static correction is a nonlinear optimization problem,so the overall optimized algorithm can be used to deal with this problem.A hybrid optimization inversion method is developed to calculate residual static correction by integrating stimulated annealing and genetic algorithms.The application of this method to synthetic and real seismic data shows this method is adaptable and effective.
【关键词】 模拟退火;
遗传算法;
剩余静校正;
【Key words】 stimulated annealing; genetic algorithms; residual statics correction;
【Key words】 stimulated annealing; genetic algorithms; residual statics correction;
【基金】 中央高校基本科研业务费专项资金资助(2011PY0186)
- 【文献出处】 物探与化探 ,Geophysical and Geochemical Exploration , 编辑部邮箱 ,2011年06期
- 【分类号】P631.44
- 【网络出版时间】2011-11-23 15:22
- 【被引频次】6
- 【下载频次】167