摘要
这里介绍一种加速遗传算法,该算法通过提高计算效率改善了标准遗传算法,加速遗传算法在速度反演应用中具有更高的实用价值。加速遗传算法在每次加速循环中进行一次迭代,用部份最佳个体的边界值优化搜索范围,大大地提高了计算效率。在迭代完成后,进行混沌优化以提高反演精度。二种算法的反演计算结果说明,加速遗传算法性能优于标准遗传算法,无论针对简单速度模型还是复杂速度模型,加速遗传算法都是适用的。
This paper introduces a rapid genetic algorithm(RAGA),which improves standard genetic algorithm(SGA) through raising the computation to more efficient.RAGA has better practicability in velocity inversion.RAGA produces one iteration in each rapid loop and optimizes the searching range by using the boundary value of some excellent individuals,so the computation efficiency of the inversion algorithm is greatly improved.After the iteration,a chaotic optimization is applied to increase the accuracy.The results of two inversion algorithms indicate that RAGA is superior to SGA.RAGA inversion is an applicable method for both of simple and complex velocity model.
出处
《物探化探计算技术》
CAS
CSCD
2009年第1期86-90,2,共5页
Computing Techniques For Geophysical and Geochemical Exploration
关键词
加速遗传算法
加速循环
混沌扰动
二进制编码
速度反演
rapid genetic algorithm
rapid loop
chaotic disturbance
binary code
velocity inversion
