遗传算法是一种自适应全局优化概率搜索算法，它直接以目标函数作为搜索信息。
GA is an adaptive and global optimizing probability search method. It directly USES the objective function as search message.
最后，提出了全局近似和优化精度面向不同目标的启发式采样策略的改进方法。
Finally, a heuristic sampling method oriented to different targets is pointed to increase the model's global proximate and optimization precision.
在很多全局优化问题中，尽管目标函数和限制条件通常为非线性的，但仍会遇到某些参数和某些目标之间存在一些已知的单调关系。
In many global optimization problems, there exist some monotonous relations between parameters and some objectives, although the objective and constrain condition functions are nonlinear.
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