a global optimum result 全局最优解
Genetic algorithms (GAs) with self-adapting step size can search the best solution directly and more likely to acquire the global optimum result.
具有自适应步长的遗传算法可以直接搜索全局最优解。
Meanwhile, we use a fast simulation annealing algorithm in the inversion, which can overcome the limitation of the local extremum of objective function, and acquire a global optimum result.
同时，在具体反演中使用快速模拟退火算法，可以克服目标函数局部极值的限制，从而获得全局最优解。
The example result shows that in the genetic algorithm the optimum global solution can be gained and the convergence speed is fast.
算例结果表明，用该方法能以较快的速度收敛于全局最优解。
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