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。
Compared with the traditional optimum methods, this methods can obtain at ideal global optimum result. In addition, this method also improves GA's limit.
可取得较为理想的全域最优值，同时该方法也改善了基因遗传算法的局限性。
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。
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