围岩参数优化反演实质为一个高度复杂的非线性函数优化问题,采用传统局部优化技术存在依赖于初值、易失败等缺点,而进化算法这种全局优化方法却可以很好地解决此问题。但常用的遗传算法存在效率低等缺点,结合免疫系统原理及进化规划机制提出的新型仿生算法——免疫进化规划可以克服遗传算法的缺点。通过某水电站工程洞室围岩参数反演研究,证明了仿生算法参数反演的合理性、有效性。 Inversion of surrounding rock parameters is essentially a highly complex nonlinear function optimization problem. The traditional local optimization technique has its drawbacks that it depends on the initial value and fails easily. However, the global optimization method of evolutionary algorithm can solve this problem well . However, the commonly used genetic algorithms have the disadvantage of low efficiency. Combining the immune system principle and evolutionary programming mechanism, the new bionic algorithm - immune evolutionary programming can overcome the shortcomings of genetic algorithm. Through the inversion of the surrounding rock parameters of engineering caverns in a hydropower station, the rationality and validity of the inversion of the bionic algorithm parameters are proved.